Data Science & AI: Your lateral entry into the tech industry – without a computer science degree!

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The world of data is growing rapidly and companies are desperately looking for specialists in data science and artificial intelligence (AI). But what if you don’t have a first degree in computer science or come from a different professional field? Is a lateral entry into the tech industry even possible?

The answer is: Yes!

Whether you have a background in economics, social sciences or a completely different field – there are many ways to successfully gain a foothold in data science & AI. In this article, you will find out which skills are really in demand in the tech industry, how you can acquire the necessary knowledge and which first steps will get you into the world of data.

The need for data scientists: Why now is the right time for your lateral entry into data science & AI

High demand for skilled workers

The demand for specialists in the field of data science and artificial intelligence (AI) is enormous. According to a study by the industry association Bitkom, around 149,000 vacancies for IT experts in Germany were unfilled in 2024 (sample: 850 companies from the IT and digital economy, Bitkom 2024), as shown in Figure 1:

As you can see here, this means an increase of 12,000 unfilled jobs in the IT sector. And that in just one year!

Wide range of applications

Data Science & AI are in demand in almost every industry – and therefore also open up new career opportunities for career changers without a computer science degree.

Here are a few examples:

  • Healthcare: With the help of AI-supported data analysis, doctors can recognize complex medical patterns and make more accurate diagnoses. One well-known example is the use of machine learning in cancer research to identify tumors at an early stage using image data.
  • Finance: Banks and insurance companies use data science to analyze customer behaviour, better assess risks and detect attempted fraud at an early stage. For example, a bank can automatically detect credit card fraud based on transaction patterns.
  • E-commerce: Online stores such as Amazon or Zalando use AI-based recommendation systems to analyze purchasing behavior and make personalized product recommendations – this increases sales and improves the customer experience.
  • Social sciences: Researchers use big data to better understand social trends, e.g. how opinions spread in social networks or which factors lead to certain political decisions.
  • Education sector: Learning platforms rely on AI-supported adaptive learning systems that analyze the progress of students and adapt the learning material individually – so everyone receives exactly the support they need.

And that’s just a small selection of all the different areas of application! This diversity offers career changers without a technical background the opportunity to apply their existing knowledge in new contexts – and thus successfully make a start in the tech industry.

Who is suitable for lateral entry in Data Science & AI?

A lateral entry into data science and artificial intelligence (AI) is possible for people from a wide range of disciplines. More important than the original course of study or training are certain skills and characteristics that are crucial for working with data and algorithms.

Typical backgrounds of lateral entrants

  • Natural sciences and engineering: People from physics, mathematics, biology or mechanical engineering have analytical thinking skills and are used to dealing with large amounts of data – be it in laboratory data analysis or the simulation of technical processes.
  • Economics: Those with a background in business administration, economics or controlling often have experience with statistics and data analysis. This knowledge is valuable for market analyses to predict purchasing behavior or for risk management to evaluate investments based on data.
  • Social sciences and psychology: A deep understanding of human behavior is particularly useful for user experience (UX) analyses and market research. Data science helps to identify patterns in surveys or develop AI models for behavioral predictions.
  • Creative professions and marketing: Experience with content analysis and target group understanding can be used for A/B tests in advertising or for AI-supported image recognition, for example for the automated categorization of content.
  • Journalists and linguists: a feel for language and text comprehension are essential for natural language processing (NLP). They optimize AI models for text recognition, machine translations and automated summaries.

Important features for getting started

  • Curiosity and a willingness to learn: data science and AI are developing rapidly – those who continuously develop their skills will remain competitive. If you have never programmed before, you can start with Python or SQL and recognize data patterns with tools such as Power BI or Tableau.
  • Analytical thinking: The ability to structure data and recognize patterns helps with data-based decisions. In marketing, for example, an analysis can show that certain regions react particularly well to a campaign, allowing strategies to be adapted in a targeted manner.
  • Ability to work in a team: Data scientists work together with developers, analysts and specialist departments. Those who can communicate complex data in an understandable way help to develop data-based solutions – for example, when declining orders are identified early on and optimized together with the sales department.
  • Problem-solving orientation: Data science requires creative thinking in order to find data-driven solutions. For example, an AI analysis in e-commerce can show that high shipping costs cause shopping cart abandonment, whereupon an adapted shipping model is tested.

Opportunities and advantages of a lateral entry into data science & AI

Data science is a career changer field

According to a recent Stack Overflow study (2023), almost 50% of data scientists do not have a traditional IT or computer science background (sample: 90,000 developers and IT experts surveyed worldwide, Stack Overflow Developer Survey 2023). This is visualized in Figure 2:

This shows that a successful entry into data science & AI is also possible without a technical degree. Many experts come from completely different fields and have acquired the necessary skills through postgraduate studies, further training or professional practice.

High salary and career prospects

Data scientists are among the best-paid specialists – high demand and limited supply lead to attractive salaries and career opportunities. According to the StepStone Salary Report (2024 ), the average annual salary of a data scientist in Germany is between 65,000 and 85,000 euros gross (sample: 12,000 data scientists and IT experts surveyed).

Figure 3 also shows that even more than €100,000 is possible in managerial positions(StepStone Salary Report 2024). Data scientists are more in demand than ever, especially in data-driven industries such as finance, healthcare and e-commerce.

Fears when starting a career change – and how to overcome them

A lateral move into the tech industry is a big step, and it’s completely normal to have certain fears. But these shouldn’t stop you from seizing this opportunity – after all, you’ve already seen the benefits and prospects that data science & AI offer, and others have done it too. Watch the inspiring career of a GoVersity mentor, career changer and current tech CEO on our YouTube channel. Watch the video here.

1. fear of math

Many people fear that their math skills are not sufficient for data science and AI. However, it is sufficient to focus on statistics and linear algebra – in-depth knowledge of mathematics is often not required. Most data science applications are based on standardized methods that are well documented and easy to learn in practice.

Practical example: Alex, a former marketing specialist, was terrified of numbers. But after three months of online courses on statistics, he was able to easily create his own data models and analyze patterns in marketing campaigns.

2. no programming experience

A widespread misconception: you have to have years of coding experience. However, Python and SQL are particularly beginner-friendly and can be learned in just a few months. Many newcomers start with simple data analyses and gradually work their way up to more complex models.

Tip: Start with practical projects, e.g. analyzing your Spotify playlist or evaluating your calorie consumption with Python. Simple web scraping projects or data visualizations are also a good place to start.

3. no university, no chance?

Many people think that you can’t get started without a computer science degree – but in practice, practical projects, experience and a strong portfolio count for more than a formal degree. Employers often look to see if someone can solve problems independently and make data-based decisions. Bootcamps, certificate courses and open source projects can be valuable alternatives to a tech degree.

Tip: If you already have a Bachelor’s degree in your pocket, a Master’s in Data Science and AI is a sure way to open doors in the tech industry, even without a technical first degree!

Roadmap for successful lateral entry into data science & AI

Want to get started? This roadmap shows you which skills you should build up and how you can acquire the practical knowledge you need for your career change into the tech industry.

1. Learn the basics of mathematics & statistics

A solid understanding of statistics and linear algebra is essential. Free learning platforms such as YouTube, Udacity or Coursera offer practical courses to help you learn the most important concepts.

2. Master Python & SQL in 3 months

Programming languages such as Python and SQL are the basis for data science. A tried and tested method is the “100 Days of Code” challenge, which allows you to practice every day.

3. Implementing the first machine learning project

Practical experience is the key to success. Start with a simple machine learning project, e.g. a movie recommendation system, to better understand data analysis, model training and algorithms.

4. create a portfolio on GitHub

Employers pay particular attention to practical projects. Document your projects on GitHub to make your skills visible and impress potential employers.

5. consider a part-time Master’s degree in Data Science

Although an academic degree is not absolutely necessary, it is usually a solid competitive advantage. Make sure that your degree course integrates practical projects so that you can apply your knowledge directly, so that you stand out even more from others and can impress employers even more!

Start your career in Data Science & AI now!

A career change into Data Science & AI is not only possible, it also offers you exceptional career opportunities in one of the most sought-after industries of the future. You have seen how diverse your options are and how many successful career changers have already made it. Now it’s up to you: Take a moment and ask yourself where you could be in a year’s time if you took the first step today.

Maybe you want to start with a small project to find out how much you enjoy programming and data analysis. Or you might want to build up your portfolio in order to prepare yourself optimally for your dream job.

And if you realize that you are ready to deepen your knowledge even further, a part-time Master’s degree program in Data Science & AI could be just the thing for you – a decision that will actively shape your career and open new doors for you.

Sounds exciting? Find out at one of of our info sessions to find out how GoVersity can accompany you on your individual path. No matter where you are today – together we will take your next step towards a future that you determine yourself.

Because one thing is certain: the perfect time to get started is now!

Part-time Master in Data Science & AI in just 18 months!

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Promotion: ticket to your dream job or a waste of time?

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A doctorate is more than just prestige – it can take your career to the next level. Higher salary prospects, exciting research, exclusive career opportunities: a doctorate can open doors for you that remain closed to others. But is it really worth the effort? What advantages does a doctorate offer – and what challenges should you be aware of?

In this article, we will show you what career leaps are possible with a doctorate, in which sectors it is worth its weight in gold and how your salary can develop. You’ll also find out how to overcome potential hurdles and whether a part-time doctorate is the right choice for you.

What does it mean to do a doctorate?

A doctorate is an intensive research project that concludes with a dissertation and an oral examination, the disputation. It usually takes three to five years and requires not only professional excellence, but also self-motivation and perseverance. During this time, you will immerse yourself in a specific research topic, develop innovative solutions and make a real contribution to science and practice. As soon as you have a Master’s degree, you can do a doctorate. You are also admitted to doctoral studies with comparable degrees, e.g. a Diplom or Magister. The decisive factor is that you can prove that you have a total of 300 ECTS.

However, a doctorate is not just for prospective academics who want to stay at university. It can also open doors to particularly demanding and highly paid positions in the private sector. However, anyone who decides to take this step should carefully consider whether the effort is worth it in the long term.

Why is a doctorate worthwhile?

A doctorate is not just an academic title – it can be decisive for your career. Many companies are specifically looking for highly qualified specialists with analytical skills, scientific thinking and strong problem-solving skills. The ability to successfully complete a complex research project over a period of years demonstrates resilience, stamina and a structured approach to work – qualities that are in demand in almost all industries.

Financial advantages of a doctorate

The financial advantage of a doctorate can be significant. According to a survey by the Federal Statistical Office (Destatis, 2022) based on a sample of 75,000 employees from various sectors, specialists with a doctorate earn on average 30% more than their colleagues with a master’s degree.

Figure 1 shows this difference between the gross monthly salaries of Master’s graduates and doctoral graduates:

  • Master’s graduates earn an average of €6,188 gross per month.
  • Doctoral graduates earn a significantly higher average salary of €8,687 gross per month, which corresponds to an income advantage of around 30%.

This difference in salary becomes even clearer when calculated on an annual basis. Figure 2 shows the difference between the average gross annual salary with a Master’s degree versus that with a doctorate:

According to the Destatis study (2022), doctoral graduates earn an average of €104,244 gross per year, while master’s graduates earn €74,156 gross per year. This corresponds to an annual salary advantage of €30,000 for doctoral graduates.

This truly enormous difference in salary is mainly due to the new career paths that a doctorate opens up.

Career opportunities with a doctorate

As just mentioned, a doctorate opens up new career paths that go beyond the traditional Master’s degree. In many professions, specialists with a doctorate are destined for higher positions or can start directly in roles of responsibility.

This is where a doctorate is particularly valuable:

  • Law – specialist knowledge for top law firms: Master’s graduates start out as legal research assistants. With a doctorate in law, you can specialize and thus advise large companies, conduct negotiations and work in leading law firms or as in-house counsel.
  • Consulting – direct entry at a higher level: In consulting, you usually start as an analyst or junior consultant with a Master’s degree. With a PhD , you can move into management roles more quickly, for example in life sciences, IT strategy or financial consulting. Your specialist knowledge is particularly in demand for complex market and business analyses.
  • Engineering sciences – leadership roles in innovation: Master’s graduates usually work as project engineers. With a doctorate in engineering, you will drive innovation, help shape future technologies and cooperate with universities and political institutions.

In addition to science, a doctorate can also be the key to responsible and lucrative positions in business and industry. But how can you reconcile a doctorate with your job?

Doing a doctorate while working – is that possible?

Yes, it is possible! Many professionals choose to obtain their doctorate alongside their job. This has the advantage that you can continue to work and earn an income while expanding your academic qualifications. Companies often support their employees by integrating doctoral projects into the company strategy or entering into research partnerships with universities.

However, a part-time doctorate requires excellent time management and the balance between job, doctorate and free time is not always easy. However, it also offers you the attractive option of continuing to receive your regular salary and putting your research project directly into practice.

Advantages and challenges of a doctorate

We have already highlighted a few of the advantages and disadvantages of a (part-time) doctorate. Here, however, we have provided you with a more detailed, summarized overview of the advantages and challenges of a doctoral project:

Advantages:

  • Better career opportunities and higher salaries
  • Higher loans, as banks classify doctorates as more creditworthy
  • Expert status in a specialized field
  • Recognition and respect from others
  • Development of valuable skills such as critical thinking and scientific work
  • Access to exclusive networks in science and business

Disadvantages:

  • Relatively high time expenditure over several years
  • Financial burden if no funding is available
  • Expectations from the environment or from oneself that can lead to psychological pressure
  • Possible overqualification in certain occupational fields

How to achieve a successful promotion

Don’t let the challenges put you off! Because if you decide to do a doctorate, there are some tried and tested strategies that can help you to successfully master the path:

1. ensure financial security

  • Take advantage of funding opportunities: Find out about scholarships, research grants and part-time jobs.
  • Save with foresight: A financial reserve helps to avoid unexpected bottlenecks.
  • Do a doctorate while working: If possible, continue working part-time to remain financially independent.

2. structure and planning are crucial

  • Set career goals: Your doctoral project should not only be exciting, but also strengthen your career prospects.
  • Stay realistic: Set flexible goals – not everything goes according to plan, and that’s normal.
  • Effective time management: Set clear priorities to stay productive.

3. build a strong network

  • Seek support: Exchange ideas with fellow doctoral students, doctoral advisors and mentors.
  • Use feedback: See constructive feedback as an opportunity to improve.

4. take care of your health

  • Regular breaks: Your brain needs rest to remain efficient.
  • Don’t forget your free time: Hobbies and social activities help you stay motivated.

A successful promotion therefore depends above all on a strong support system, the right planning and good self-care.

Is a doctorate the right step for you?

A doctorate can advance your career enormously, but it must be well thought out. In many industries, it often brings significant benefits – both financially and in terms of career development. If you have a passion for research, want to benefit from better job opportunities in the long term and are willing to invest time and energy in this goal, then a PhD is definitely worth considering.

With the right planning and a good support system, you can make the most of the benefits and take your career to the next level! Want to find out more? Discover all the information about part-time doctorates and the various options for professional support here. We support you from the planning of your doctorate, through the research process, to the final dissertation.

Part-time doctorate in just 36 months

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Math? Easy! How your mindset makes the difference

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Math is not a talent, it’s an attitude – we’ll show you how to master it!

Mathematics. The word alone makes many people feel uneasy. Maybe you’re also thinking: “I’m just not a numbers person.” But here’s the good news: math is not a question of talent, but of the perspective you take and your willingness to learn new things!

Mathematics is one of the most fundamental sciences in the world for a reason: it is considered a key skill in almost all areas of life. If you master math, the door to your dream life is open: Great degree courses and exciting career fields await you, some of which beckon with high salaries. But math may also benefit you more than you think in your everyday life. So don’t let prejudices or bad school experiences put you off!

What you can expect in this article:

  • Why math seems so difficult for many – and why it has nothing to do with talent.
  • How you can change your attitude to math.
  • What advantages math offers you in your studies, career and everyday life.
  • Five simple tips to master math without stress.

Why does math scare so many people?

Mathematics is often referred to as a “hate subject”. Perhaps you also think back to your school days: complex formulas, strict teachers, exam stress – it all frustrated you. No wonder math becomes a “fear subject” for many.

But the problem is not the math itself. It’s the negative beliefs that we develop as a result of our bad experiences. Thoughts like “I’m just bad at math” block you. But math is a matter of training!

Study shows: Math anxiety can be overcome

A study by the German Rectors’ Conference (2022) with 2,500 participants from 15 faculties shows: 9 out of 10 graduates with math components in their studies report that they are no longer afraid of numbers after graduation and are confident in dealing with them.

These results make it clear: mathematical skills can be learned – regardless of previous knowledge. It is much more important that you dare to start at all! The first step is to change your attitude towards math.

Four strategies to change your attitude towards math

Math can be fun and can help you enormously in life. However, our negative experiences with math often keep us stuck in a negative mindset. So you need to make your experiences with math more positive. Below, we present four strategies to help you do this.

1. create practical relevance

Think about how math benefits you specifically and imagine how you use math in practice:

  • Analyze key company figures: Transfer this to your everyday life: you could track your monthly expenses and analyze where you spend the most money and identify potential savings, e.g. by switching to cheaper providers.
  • Recognize trends in data: Observe your daily routines and patterns, such as how many times a week you reach your fitness goals, and use these insights to plan your time more effectively.
  • Measure goals and make informed decisions: Set yourself goals such as saving for a vacation and regularly check your progress. For example: How much have you put aside this week and how close have you come to your savings goal?

The WiGeMath study (2018), with around 4,000 participating students from various German universities, confirms that practice-oriented approaches increase mathematical performance by up to 25%!

Imagining math practically and in a context that you are familiar with, as in the examples above, significantly increases comprehension and thus your positive experience with math.

2. develop positive beliefs

Replace negative thoughts such as “I’m bad at math” with positive ways of thinking such as “I can learn math”. This change opens you up to progress and removes blockages that make it possible for you to gain positive experiences. Because in order to have new, better experiences with math, you have to start opening yourself up to new things in the first place.

3. proceed step by step

Nobody becomes a math pro overnight. Focus on one subject at a time. It can seem overwhelming at first, but math is always logical. There is always a fixed structure and individual steps that you can work on for a long time. Dividing a task into several small steps can help you to understand it better.

4. see mistakes as a learning opportunity

Mistakes are not a problem, but an opportunity to improve. Analyze what didn’t work, learn from it and try again. The important thing here is not to perceive the mistake as a negative experience, but as something that helps you move forward and is therefore helpful for you.

3 reasons why math will help you in the long term

Math is with you everywhere – often without you even realizing it – and can be the door to your dream life! Here are three reasons why math will help you get ahead in the long term:

1. math is the foundation of our modern world

Whether algorithms, IT security, big data or business management – everything is based on mathematics. Anyone who understands math as the language of the future can get off to a flying start anywhere, but especially in the tech industry.

The tech industry uses mathematics, among other things, to make your life better:

  1. Algorithms: They decide, for example, what content you see on social media or which Spotify playlist is automatically suggested to you. As a result, you usually only receive content that actually interests you.
  2. IT security: Encryption technologies protect all your data, including your bank details, for example.
  3. Big Data: Companies use mathematical models to analyze huge amounts of data and thus, for example, bring better products onto the market for which there is more demand and which may also offer added value for you.

2. Math trains your logical thinking – at work and at university

Analytical thinking and problem-solving skills are in demand in almost every job, especially in jobs that later pay very well. In degree programs such as Business Administration (B.A.) or Data Science and AI (M.Sc.), you will learn how to evaluate data and make well-founded decisions that will help companies move forward. This will make you a key figure in the company’s success and give you the prospect of a hefty salary.

How math is used in different jobs:

  • Marketing: Imagine you are in charge of a company’s social media page. You see that posts with certain images or headlines get more clicks. Based on these figures, you plan future campaigns to attract more attention and customers.

Calculation example:

You manage a company’s social media page and analyze two posts:

  1. Post A: Has 1,000 views and 100 clicks on the link → click rate = 100/1000×100=10 %
  2. Post B: Has 800 views and 120 clicks on the link → click rate = 120/800×100=15 %

Result: Although post A has more views, post B is more effective as the click-through rate is higher. Based on these figures, you decide to use similar content to post B in future campaigns to increase the engagement rate.

  • Finance: Develop a computer program that uses data such as stock prices and trading volume to automatically recognize when to buy or sell stocks. Test the program with old market data and adjust it to maximize profits and limit losses.
  • Artificial intelligence: Think of voice assistants such as Siri or Alexa. An algorithm calculates what you have said at lightning speed, searches for the right answer in a database and returns it to you. Such functions are based on mathematical models that convert speech into numbers.

3. math helps you in everyday life

From budget planning to price comparisons: Math is a practical companion in everyday life. Think about the situations in which you calculate something every day and how much it helps you practically.

Everyday situations in which you use math:

  • Budget planning: How much can you save per month after deducting all fixed costs? Where can you cut fixed costs to save more money, e.g. for an upcoming expense or for your future?
  • Price comparisons: Is the discount offer in the supermarket really cheaper than the own brand?

Calculation example:

In the supermarket you will see two options for butter:

  1. Branded butter with 20% discount: Normal price € 2.50 → with discount € 2.50 × 0.8 = € 2.00
  2. Own brand butter (no discount): Price 1,80 €

Result: Despite the discount, the private label butter is cheaper. You save an additional €0.20 if you choose the private label.

  • Time management: Estimate how long certain tasks take at work, add buffer times and see if you can get exactly to your daily hours – this way you can plan your day efficiently and avoid overtime.

5 tips to master math without stress

So math can really help you get ahead! The important thing is that you have a positive experience with math. To guarantee this, we have summarized five practical tips here that will help you learn math with less stress:

  1. Keep a cool head:
    If you see a task that looks complicated, take your time and tackle it step by step. For example: break down a large equation into smaller parts and note down what each part means – often the solution is clearer than it first appears.
  2. Start with the basics:
    When you start a new topic, first check that you have mastered the basics. For example, before you start calculating probability in statistics, make sure you understand percentages and simple fractions.
  3. Practice regularly:
    Schedule 20 minutes every day to work on math problems. For example: do 2-3 exercises from the last lecture during your coffee break or after dinner – this will keep the material fresh.
  4. Practice-oriented learning:
    Think about how you can apply what you have learned. For example: the next time you go shopping, calculate how much you can save on a sale with a 30% discount. This will help you understand it better and you can practise at the same time!
  5. Stay patient:
    Progress comes step by step. Set yourself small goals, such as understanding one topic per week. Celebrate small successes, like getting a task right, and remember that every step counts!

Why you should get started now

Math is not an obstacle, but a door opener to your dream life. With the right attitude, math becomes a tool that will help you get off to a flying start in your studies, career and everyday life.

Your dream course of study is waiting for you. So take the plunge, get started and show us what you’re made of!

Master in Data Science and AI (English.) in just 18 months

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Career boost with data science & AI: what you need to know

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When you think of artificial intelligence (AI), images from dystopian films may come to mind – robots that take over the world or machines that replace us. Sounds like science fiction, doesn’t it? In fact, AI and data science have long been part of our everyday lives, often without you even realizing it.

The algorithm that compiles your favorite songs on Spotify? The navigation app that reliably guides you to the fastest route? Or the online store that suggests exactly the products you are looking for? Artificial intelligence and data-based analysis are behind all these technologies.

Data science and AI – more than just science fiction

How can you actively shape the future with data science and AI? This article shows you why these disciplines are indispensable and how studying in this field not only offers you exciting career prospects, but also the opportunity to make a real difference.

The labor market is booming

The demand for data science and AI experts is growing rapidly. According to a study by 365 Data Science (2023), the employment rate for data scientists will grow by an impressive 36% between 2021 and 2031. Companies worldwide are increasingly relying on data-driven decisions – this opens up great opportunities for you!

Forecasts that increase your career opportunities

  1. Strong growth in AI jobs: According to the World Economic Forum, around 97 million new jobs based on AI and automation are expected to be created by 2025. Occupations such as AI engineer, data scientist or AI ethicist will be in particularly high demand.
  2. Industry-specific demand: AI is indispensable in many industries:
  3. Salary increases: Starting salaries in AI start at €60,000 and rise to €150,000 for experienced professionals – especially in Germany.
  4. Interdisciplinary roles: AI jobs require hybrid skills – technical know-how paired with soft skills such as creativity, teamwork and communication.
  5. Green technologies: AI is used for sustainability, e.g. in smart grids or predictive maintenance. Start-ups and companies are actively looking for talent in this area.
  6. Global and remote working opportunities: With the global expansion of the AI industry comes flexible working models that are particularly attractive to young talent.

How data science is changing the world

Imagine you could develop technologies that save lives, combat climate change or alleviate global problems such as hunger and poverty. This is exactly what data science and AI make possible:

  • Medical breakthroughs: AI models detect diseases such as cancer faster and more precisely.
  • Sustainable energy: Smart grids make cities more efficient and environmentally friendly.
  • Individual education: Personalized learning systems support students individually.

Data science is not a dream of the future – it is the present!

Career prospects: Your opportunities after graduation

With a degree in “Data Science & AI”, doors to fascinating professional fields are open to you:

  • Data Scientist: Analyze data sets and develop forecasting models – your knowledge creates the basis for data-driven decisions.
    (starting salary: € 60,000-75,000)
  • AI Engineer: Build innovative algorithms, e.g. for voice assistants or smart apps.
    (gross salary: €80,000-100,000)
  • Chief Data Officer (CDO): Take responsibility for the data strategy of a company.
    (gross salary: >€120,000)
  • Researcher:in: Develop AI applications such as autonomous systems or generative models.

Want to find out more about tech degree programs? Discover more exciting perspectives in our blog post “Tech degree programs of the future”.

Where you could change the world:

1. technology and software development

Have you wondered how Siri or Alexa understand your questions? Develop technologies that help millions of people.

  • Artificial intelligence: Create chatbots or generative AI that make everyday life easier.
  • Data visualization: Develop dashboards that enable companies to make quick decisions.

2. healthcare

AI is revolutionizing medicine – and you can help.

  • Medical image processing: Build systems for the early detection of diseases.
  • Diagnostic support: Develop tools that relieve physicians and provide patients with optimal care.

3. finance

Your bank protects you from fraud – thanks to AI that analyzes patterns.

  • Risk management: Prevent fraud through predictive analysis.
  • Algorithmic trading: Optimize trading systems with lightning-fast data processing.

4. marketing and e-commerce

From Netflix to online stores: AI personalizes the user experience.

  • Personalization: Create systems that tailor products perfectly to users.
  • Customer data analysis: Change marketing campaigns with deep insights.

5. industry and manufacturing

Make machines smarter and manufacturing processes more efficient.

  • Predictive maintenance: Prevent machine failures through early analysis.
  • Automation: Build systems that control processes independently.

6. energy and environment

Shape a sustainable future with smart technology.

  • Smart grids: Optimize electricity grids for more efficient energy use.
  • Sustainability analyses: Support environmental projects with data-based findings.

Soft skills for data scientists

Data science is more than just numbers and algorithms – it’s about creativity, critical thinking and teamwork. You will learn to solve complex problems and present data in an exciting way. Imagine explaining a complicated topic in such an understandable way that your counterpart is thrilled!

In addition, it is your ability to translate technical findings into clear, actionable recommendations that sets you apart. Data Scientists are often seen as a bridge between technology and strategy – and this is where you can shine. Your strong communication skills and empathy will help you play a key role in interdisciplinary teams. And best of all, you will become a person who not only understands data, but also inspires people.

Ensure work-life balance and career opportunities

Jobs in the field of data science often offer flexible working hours, remote working and, as already mentioned, attractive salaries. The high demand for specialists in these future-oriented professions gives you room for negotiation when planning your career.

You can change the world with a technology degree. Start your journey into the world of data science & AI now and secure a future-proof career.

Master in Data Science and AI (English.) in just 18 months

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7 red flags in the application process: how to recognize toxic companies and protect your career

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The application process and especially the interview are not only a good opportunity to show your best side – the company should also be thoroughly examined at this point. After all, you want to find a job that fulfills you and helps you progress, rather than causing you frustration and disappointment, right?

Choosing the right job is crucial for your satisfaction and professional development. That’s why we show you the most important “red flags” (warning signs) that indicate potential problems or toxic professional situations. You should recognize these in the job interview. You will also receive practical tips on how to avoid pitfalls at an early stage and prevent nasty surprises in the job.

7 red flags in the application process

Even during the application process, there are often initial indications that a company may not be the ideal employer you first thought it was. Pay particular attention to the following aspects:

1. fast pace and unclear information about the role

If the company is pushing hard and would like to hire you immediately, you should be careful. If the information about the position or your tasks is kept vague, this often indicates that the company itself does not yet know exactly who it is looking for.

Why is this important? An undefined area of responsibility and hasty recruitment can be signs of staff shortages or high staff turnover – neither of which are ideal starting conditions.

Tip: Make sure that your questions about the role are answered precisely and transparently. A good company will also give you time to make your decision in peace.

2. little openness regarding salary and working conditions

“We’ll discuss salary and working hours later” – a sentence that is rarely a good sign. A transparent employer should offer clarity about salary, overtime regulations and extras such as working from home right from the start.

Why is this important? If the company avoids this, it could be an indication of unfavorable working conditions.

Tip: Ask specific questions and make sure the answers are clear and direct – this shows that the company values transparency.

3. poor ratings and high fluctuation

Platforms such as kununu or Glassdoor allow you to take an honest look behind the scenes of the company. An accumulation of negative reviews or frequent employee turnover can indicate problems in the corporate culture.

Why is this important? High turnover and poor evaluations indicate a stressful work environment that can be characterized by constant changeovers.

A stressful working environment, which can be characterized by constant change, is covered in detail in the Business Psychology course. Here you will learn how corporate culture and employee management can be positively influenced.

Tip: Take the time to read reviews and pay attention to recurring points of criticism such as a lack of work-life balance or management problems – this can save you frustration later on.

Recognizing red flags in the job interview

Especially in the interview, when you speak directly to a future supervisor, you can quickly identify some critical points:

4. unpunctual or unprepared interviewer

If your interviewer is late or seems unprepared, this does not speak for an appreciative corporate culture. Snide comments or questions that have nothing to do with the job are also warning signs.

Why is this important? The interview gives you a small insight into the corporate culture. If little respect is shown here, this could be problematic in everyday working life.

Tip: Pay attention to how seriously the person you are talking to takes you and how professional the conversation is. Even small signs reveal a lot about how you treat each other.

Also prepare well and ask specific questions yourself. In our article“A successful start to your career: the 14 most important questions in a job interview”

you will find helpful questions that you can use to find out more about the corporate culture and everyday working life – so you are well prepared for the interview.

5. high expectations and unpaid tasks

If high demands are made in the interview or unpaid tasks are requested without the prospect of employment, this indicates one-sided expectations.

Why is this important? High demands without appropriate recognition can lead to excessive demands and frustration.

Tip: Be careful when high expectations are set without clear consideration or prospects. Your time and energy should not be wasted here.

6. vague career and further training prospects

A good employer provides clear answers about career paths and further training opportunities. If these answers remain vague, this could indicate that the focus is not on employee development.

Why is this important? Without clear prospects, you risk stalling your career.

Tip: Ask specifically about development opportunities. Companies that are interested in you in the long term have no need for excuses.

If you want to develop professionally and learn more about such topics, then take a look at the part-time MBA program – it prepares you optimally for responsible and leading roles.

7. constant emphasis on “dynamics” and “challenges”

If the company places a lot of emphasis on “dynamism” and “challenges”, you should pay attention. This often conceals a stressful and unstable environment.

Why is this important? A challenging work environment can be exciting, but often leads to stress and frustration if there is no balance.

Tip: Ask how the company supports its employees when they face challenges. This will tell you whether the team sticks together or whether everyone is on their own.

Why you should pay attention to red flags in the application process

Many resignations could be avoided if you pay attention to red flags during the application process. This not only saves time and nerves, but also protects you from making a decision you later regret.

Source: Own presentation based on McKinsey Survey 2023, Germany, survey with N=1,286 participants

A recent survey by McKinsey of 1,286 employees in Germany shows that the most common reasons for resignation are insufficient remuneration (39%), dissatisfaction with managers (36%) and a lack of development and training opportunities (34%). These figures illustrate how important it is to ensure clear prospects and fair conditions.

Conclusion: Watch out for these red flags – it’s worth it!

Looking at these warning signs will help you gain clarity about the corporate culture and potential problems within the company. Every question you ask and every detail you notice will bring you closer to a job that really suits you. This will save you disappointment and give you confidence in your career.

Fancy more career tips? Then sign up for our monthly newsletter or check out our TikTok account! There you will regularly find exciting content and hacks to help you on your career path.

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A successful start to your career: The 14 most important job interview questions for part-time students

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Perhaps you have just started a part-time degree course and are at the beginning of your professional career or want to change direction and have applied for a new job? You’re full of energy and ambition, but you’re also a little nervous and have lots of questions before your interview.

No need to worry – most people feel the same way. A job interview is a great opportunity to present yourself and your skills. Many of the questions you will be asked are predictable. With the right preparation, you can plan your answers strategically and present yourself confidently.

In this guide, you’ll find the 14 most common job interview questions and valuable tips on how to master them. Get ready to impress the interviewer and take the first step towards your professional future. Let’s go!

Question 1: Tell me something about yourself

This question serves as an icebreaker and gives the interviewer the opportunity to get to know you better. Your answer should be a brief summary of your part-time studies, relevant work experience and personal strengths. Please don’t just repeat your CV, but go into detail about what you have learned and “taken away” from the individual stages. Structure is important – start with your education, then move on to your professional experience and finish with your strengths.

Sample answer: “I started my Master’s degree in Business Psychology with GoVersity four semesters ago and completed several internships in marketing and HR during my Bachelor’s degree in Business Administration , including at Porsche. There I was able to develop my skills in performance management and employer branding. After my business studies, I expanded these skills in the HR department at ENBW and also optimized important processes in this area. I enjoy working in a team and look forward to contributing my skills to your company.”

Question 2: Why do you want to work for us?

This question aims to find out why you are interested in this company. Find out more about the company and find out what its values and goals are. Combine this information with your own skills and experience to show how you can contribute to the company’s success.

Sample answer: ” Your company is a leader in sustainable technologies and I am excited about the opportunity to work in an innovative environment. My project management skills and passion for green technologies are a perfect fit for the projects you are currently working on. “

Question 3: What are your strengths?

Choose three strengths that are relevant to the job and support them with examples from your previous experience. Your strengths should fit well with the job profile.

Example answer: “My ability to solve problems, teamwork and time management are among my strengths. In my last job at ENBW, as already mentioned, I co-managed a process optimization project that led to a 20% increase in efficiency.”

Question 4: What are your weaknesses?

Question 4: What are your weaknesses?

Be honest, but avoid weaknesses that are critical for the position. Show that you are working on your weaknesses and developing yourself. This question aims to test your self-reflection and development potential. It is best to point out at the end that you have already improved.

Example answer: “I tend to take on too much responsibility sometimes because I want to make sure everything goes perfectly. I’m working on delegating tasks better and trusting my team more.”

Question 5: Where do you see yourself in five years?

With this question, the interviewer wants to find out whether your long-term goals are in line with the company.

Think about what your long-term career goals are and how the position you are seeking fits in. Research the company to understand what growth opportunities it offers and prepare a specific, realistic response that demonstrates your ambition and flexibility.

Example answer: “In five years, I see myself in a management position where I can use my knowledge from my degree in business psychology and my experience in HR or employer branding to lead innovative projects and drive the company forward.”

Question 6: Why did you choose this subject?

Explain your motivation and interests that led you to your choice of study. Your answer should show that you made a conscious and passionate choice.

Example answer: “I chose to study business psychology because I am equally interested in business and people. This combination gives me a better understanding of market trends and customer behavior.”

Question 7: Can you give an example of a challenge that you have successfully overcome?

Question 7: Can you give an example of a challenge that you have successfully overcome?

Choose a specific example and explain how you tackled the challenge and what the outcome was. Your answer should show that you are able to act proactively and solution-oriented in difficult situations.

Example answer: “During my last internship, there was a sudden increase in customer inquiries due to a technical error. I quickly organized a team, prioritized the requests and developed a communication strategy to inform the customers. Within two days, the problem was resolved and customer feedback was much more positive.”

Question 8: How do you deal with stress?

Describe your methods of coping with stress and give examples of how you have used them. Your answer should show that you can work calmly and efficiently under pressure.

Example answer: “I take a structured and organized approach to stressful situations. During my final exams, I set myself clear priorities and took regular breaks to stay efficient.”

Question 9: What do you know about our company?

Show that you are well informed about the company. Give some facts about the company and explain why you are particularly interested in them. Your answer should show your genuine interest and motivation.

Example response: “I know that your company has grown strongly in recent years and is a leader in the development of sustainable technologies in particular. Your efforts in environmental protection and innovation are exactly what I am looking for.”

Question 10: Why should we hire you?

This question is particularly popular with recruiters who want to test your behavior under pressure. Stay calm and briefly summarize your strengths once again.

Convince with a short self-presentation of your professional experience, successes and special achievements. Above all, show how the company can benefit from your skills. You should always keep the requirements of the job advertisement in mind. You should always think about the requirements in the job advertisement and link your strengths once again to the qualifications required in the job advertisement. Prepare yourself well for this too.

Sample answer: “With my skills in project management and my background in marketing and HR, I am ideally equipped to support your teams and contribute to the success of your projects. My experience in process optimization can help to further increase your efficiency.”

Question 11: Tell me about a successful team experience

Describe a specific situation in which you worked successfully in a team and what contribution you made. Your answer should show that you are a good team player and contribute effectively to achieving the team’s goals.

Example answer: “During a group project at university, we developed a marketing strategy for a start-up. I coordinated the communication strategy and we were able to significantly increase awareness of the start-up.”

Question 12: What motivates you?

Describe what motivates you and relate it to the position you are applying for. Your answer should show that your motivation fits the job and the company.

Example answer: ” I am motivated by the opportunity to solve complex problems creatively and to be able to apply what I have learned from my studies directly in your company. I find the challenge of working in an exciting and dynamic environment like the one your company offers particularly inspiring.”

Question 13: How do you deal with criticism?

Question 13: How do you deal with criticism?

Show that you accept constructive criticism and grow from it. Your answer should show that you see feedback as an opportunity to improve and that you are actively working on developing yourself further.

Example answer: “I see criticism as an opportunity to improve. In my last internship, I received feedback on my presentation technique and then took part in a course to improve my skills.”

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Question 14: Do you have any questions for us?

Prepare questions that show your interest in the position and company. You should avoid questions about salary and vacation entitlement at this stage. The questions you ask should show that you have looked into the company and the position.

Sample answers:

  • “What important projects are coming up in the near future?”
  • “Which projects would I like to work on?”
  • “What training opportunities do you offer for new employees?”

Don’t forget that every job interview is a chance to show your best side. With the right preparation and authentic answers, you can not only impress. You will also lay the foundation for your professional future. So go into your next job interview with confidence. We wish you every success!

GoVersity’s career service helps you to successfully start your career and supports you in your job search. You can find more information about the study concept here!

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