For all explorers, who are one step ahead of the future.
Are you wondering how new business ideas are created from data? What do these business models actually look like? Most importantly, how can precise predictions and reliable future forecasts be made on the basis of the gathered information?
Are you asking yourself how the strengths and weaknesses of companies and departments, as well as products and services, can be determined using data? And what does this mean for their growth? What effect does this have on product design, quality assurance, employee development, and marketing? Above all, what does this mean for customers?
Do you want to know how these data are collected, processed and analyzed? And what is Big Data all about? Which methods and tools are being used? Which legal and ethical questions need to be considered within data science projects?
Are you thinking of how data sources can be used to create innovations and new market-driven products or services? What processes are involved? Similarly, which rules of the game have to be taken into account?
What is machine learning, a subarea of artificial intelligence, and how does it actually work? In which sectors is machine learning being used today? Where does the potential lie for tomorrow and in the future?
Not only does our bachelor’s program in Data Science provide discoverers like you with answers to your questions, but also a springboard for gaining the knowledge and skills you need to stay one step ahead of the future.
Let’s go – your first semesters
In your first semesters, everything centers around data science project management: data collection, processing, and evaluation. In applied project work, you will learn how to professionally visualize and present results that you have gained from data information. After the first semesters, you will already have key data science skills and will be familiar with all important data science methods, apps, and tools. In addition, you will obtain extensive knowledge in the modules of Big Data/Smart Data, Artificial Intelligence/Machine Learning and Data/Cyber Security.
Another focus of your first semester is communication and innovation management, where you will learn how to apply modern communication and collaboration methods and techniques effectively and efficiently. You will work with innovative methods and techniques, including design thinking and lean start-up methods. You will develop and test the latest digital methods and techniques in a playful way and acquire a high degree of digital tool competence.
You will also develop skills in communication, interaction and team building. You will gain practical experience in modern digital communication and interaction methods and learn how to use them to lead and develop interdisciplinary teams.
If you are a full-time student at XU Exponential University, you will study at one of our international partner universities in the fourth semester. You have the choice at which of our partner universities you would like to spend your semester abroad.
If you study part-time at XU Exponential University, the semester abroad will be replaced by a two- to three-week summer school at one of our international partner universities and supplemented by case studies and projects. The Summer School takes place in the sixth semester. In principle, however, part-time students also have the option of a semester abroad at any time.
Final spurt – your last semesters
You will deepen your acquired digital skills and will select at least two elective subjects. If you want to know more, you may also choose other subjects.
Your studies. Your future. Your decision.
This also applies to your elective subjects. You decide which specialization suits you best. When making your choice, be sure to consider the experience you have gained from jobs, internships and projects and the demands that the job market places on you.
- Programming and Optimization
Become a linguistic genius and discover the full potential of coding languages that can be used to effectively and successfully evaluate data. High-end data analytics is the topic with which you tackle challenging tasks and develop new solutions.
- Domain-Specific Case Studies and Tools
Become an all-rounder and gain an overview of the multifaceted and very broad fields of application (domains) for data science. Expand your analytics skills with applied case studies and tools in business, finance, HR/talent recruitment, marketing/web, health, and sports.
Become a creator for all the functional, technical and design needs of the websites and apps of today and tomorrow. You will build up the necessary expertise through practical modules focusing on social media marketing and user experience (UX).
Become a specialist for data security and data protection. For you, everything is about information security and its risks. More importantly, this entails how risks can be reduced or eliminated through strategic and operational methods. You will also deepen your knowledge through case studies on data and information security as well as on relevant legal conditions.
- Computational Intelligence
Become an expert in Machine Learning and Artificial Intelligence. In applied modules on computational intelligence, you will learn everything about learning principles, network types, and artificial neural networks. You will expand your knowledge on state-of-the-art technologies and applications that are needed for implementation on the machine (computer). You will develop and implement the relevant strategies and are training neural networks.
Become a manager for data science projects and build teams that lead them to success. Your keyword is leadership skills. In applied modules, you will expand your expertise in HR management. In addition, you will broaden your competencies in business management by applying selected concepts, models and methods.
And last but not least – your bachelor-thesis
In your last semester, you will complete your studies by writing a bachelor thesis. In your bachelor thesis, you will address concrete and practical questions in the area of Data Science/Data Analytics. You can work on your thesis in cooperation with businesses, whether it be large corporations or start-ups.
Main areas of study
- Data Analytics Methods
- Data Science Methods
- Data Science Applications and tools
- Data Security
- Innovation methods and skills
In the 5th and 6th semesters in full-time option or 7th and 8th semesters in part-time option:
- Domain-Specific Case Studies and Tools
- Web Technologies
- Computational Intelligence
- Team Management
In the 4th semester of the full-time option International Summer School in the 6th semester of the part-time option Practice
Intern domestically or internationally (full-time option) Practical projects, business games, labs, excursions (full- and part-time option)
You successfully completed your bachelor studies in Data Science? What’s next?
Depending on which specialization you have chosen, you can take off in the following areas, for example:
- Data Science/Analytics
- Data/Information Security
- Research and Development
- Innovation Management
- Marketing Management
- Business Development
Your bachelor’s degree in Data Science makes you a frontrunner in many different fields and industries. Your digital and analytical skills are in demand, whether it be in business (large corporations or long-established companies), start-ups, agencies, consulting firms, and public authorities. And this demand continues to grow.
Experts that can collect, process and evaluate data, identify the economic potential from it and develop recommendations for action that ensure the success of companies, services, and products of the future are in high demand on the market. The demand is only growing here as well.
In addition, there are a large number of career opportunities for all-rounders who will bring the future forward in interdisciplinary positions between research and development, innovation and product management, marketing and business development. And the trend? Also on the upswing.