MSc Data Science, AI, and Digital Business
This unique combination of technology and business which will help you keep a competitive advantage in the job market and advance into a future-oriented career in a global company or innovative start-up.
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In a rapidly evolving digital landscape, distinguishing yourself requires more than ambition—it demands the right qualifications and skills. Our MSc in Data Science, AI, and Digital Business provides the strategic expertise and cutting-edge knowledge essential to excel in the field. This master’s programme is designed to prepare you for independent entrepreneurial ventures or senior management positions with leadership responsibilities across various industries and business sizes.
The curriculum offers a unique combination of technology and business which will help you keep advance into a future-oriented career in a global company or innovative start-up. Digital technologies are omnipresent in today’s society and business world. All areas of life are affected by a digital revolution which is evolving faster and faster. Artificial intelligence, 5G, Big Data, the Internet of Things, and Blockchain will disrupt traditional business models and change job roles in the industry.
Students will enhance their management knowledge and acquire application-specific specialisation skills through real-world challenges and practical experiences.
Key Skills Developed
Advanced Data Science and AI Techniques
Data Visualisation and Communication
Programming
Statistics and Probability
Machine Learning and AI
Business and Leadership Competence
Who is this Programme For?
This programme is suitable for undergraduate students who are interested in a successful career in engineering, data science, or other relevant tech fields.
- Allows you to learn comprehensive aspects of machine learning, data science, digital business and innovation management.
- Opens up career opportunities across multiple industries like data analytics, AI, business intelligence, and digital consulting.
- Helps you gain additional skills in Big Data, cybersecurity, and cloud computing through technical know-how provided by Amazon.
- Gives you in-depth expertise about technological concepts like AI, machine learning, Big Data analytics, and virtual team.
Accreditations
The degree programme has been awarded the quality seal of the Accreditation Council Foundation. The Accreditation Council Foundation is a joint institution of the federal states of Germany for quality assurance in study and teaching at German universities.
Gisma University of Applied Sciences is state recognised. It also benefits from AMBA accreditation, which was awarded for the Global MBA and is an honour shared by only 6 universities in Germany and 2% of all universities worldwide. The prestigious AMBA accreditation represents innovation and excellence in education.
How Will You Study?
Gisma University of Applied Sciences supports flexible and individual learning by applying a systematic hybrid learning scheme. You will spend part of your lectures in class at our Potsdam campus. These face-to-face phases are complemented by e-learning sessions. You will work on cases, reflect on readings, take part in online discussions, and participate in group exercises and projects. This variety of learning methods is part of our unique teaching strategy, which includes student-centred pedagogy, project-based learning, collaborative learning, and personalised coaching.
Location:
Potsdam, near Berlin
Duration:
12 or 24 months
Intakes:
Jan, Apr, Jul, Oct
Tuition Fee:
From € 13,000 per year
From € 15,500 – International students
From Foundations to Future: Your Data Science, AI, and Digital Business Journey
The course is available to study both full-time and part-time. The standard period of study is two years full-time, part-time correspondingly longer. If you have the relevant academic or professional experience, you could be eligible to shorten the study period to one, or one and a half years. Talk to our programme consultants to find out whether this is the case for you.
The programme is modularised, which means each module is assigned a fixed number of credit points and concludes with an examination. For this programme, the total workload for the courses is 60, 90 or 120 ECTS credits, depending on the study period you select or are eligible for.
In the 2-year format (120 ECTS credits), the curriculum includes a ‘mobility window’ in the 5th semester: a semester reserved for you to study abroad, undertake an internship, or complete a business project in practice.
Modules
Data Science and AI
- Intro to AI and Machine Learning
- Methods of Prediction
- AI and Applications
- Big Data Analytics
- Data Visualisation and Communication
- Business Project in Big Data & AI
General business competencies
- Project Management
- Innovation Management and Digital Transformation
- Digital Marketing & Analytics
- CSR, Diversity and Ethics
Leadership, action and intercultural competencies
- Behavioural Competencies in Virtual Teams
- Ethical Issues for AI
- CEO Decision Making & Case Studies
Study Abroad or Internship or Business Project Option
Scientific and Methods Competencies
- Research Methods and Scientific Work
- Master Thesis
Your Future Career
A data science, AI, and digital business degree can give you a multi-faceted skill technical skill set which can allow you to join any major technology company like Google or Apple. You will also have the business management competency for any data-driven role in online start-ups or management firms. Potential graduate opportunities:
- Data scientist; average annual salary of € 1,39, 840.
- Machine learning engineer; average annual salary of € 1,01, 012.
- Machine learning scientist; average annual salary of € 1,00, 392.
- Enterprise architect; average annual salary of € 1,39, 840.
- Data architect; average annual salary of € 89, 840.
- Business intelligence developer; average annual salary of € 79, 840.
- Data analyst; average annual salary of € 69, 840.
As a student at Gisma, you will be supported by our Career Centre, who provide personalised career support and development.
In today’s competitive job landscape, employers seek well-rounded graduates ready to hit the ground running. Gisma’s Double Degree programme equips you with the in-demand knowledge and versatile skillset to stand out from the crowd. Combine this Gisma specialised degree specialisation with a prestigious International Business Management degree from Kingston University London, creating the perfect launchpad for your dream career – all in a streamlined timeframe.
Double Your Impact With a Double Degree
Our Potsdam Campus
An innovative campus, nestled amidst scenic beauty and iconic palaces
Hear From One of Your Future Professors
Teaching tech concepts is like tightrope walking. The topics are so interesting, but you need to be very careful to not overwhelm students with too much theory. I found a solution a long time ago: We empower students to implement concepts right after learning theories. I really love the thrilled look on their face when students notice they can understand a complex tech concept and implement it in action. This is what the job market is looking for: Graduates who possess such a precious mix of theory and practice.
Prof. Dr. Mohammad Mahdavi
Professor for Data Science
Fees & Admissions
Entry Requirements
- Bachelor’s degree in a relevant discipline (business, economics or social sciences, psychology, law, engineering, computer science, or closely related sciences)
- English proficiency: B2 (IELTS 6.0 overall, no less than 5.5 in any component) or equivalent scores in TOEFL iBT, Pearson PTE or Duolingo. Gisma also offers an English test free of charge.
Tuition Fees
EU / Germany – From € 8,500 per year
International – from € 11,575 per year
We offer a range of savings and funding options. For a full breakdown of all our fees, visit our fees and funding page below.
How To Apply
Learn about the application process at Gisma University of Applied Sciences! We’ve streamlined the application steps to ensure a smooth journey into our diverse academic community.
Visit our how to apply page below.
Pre-Master’s
A solid undergraduate background in a field relevant to our Master’s programmes is usually required for admission onto our various Master’s programmes. However, many prospective students find that their Bachelor’s degree does not meet the necessary admission criteria. In accordance with German educational standards, these candidates can complete a bridging semester of 30 ECTS, referred to as our “Premasters programme”, to establish familiarity with concepts and skills necessary to do well in their intended Master’s programme. Regardless of your Bachelor’s degree field, we will prepare you for success in your chosen Masters programme!
Learn From The Very Best in The Field
You can be confident that you will be learning from some of the most accomplished and industry-respected professionals. Our professors at Gisma University of Applied Sciences are experts in their respective fields, with a wealth of experience and knowledge. They have come from and worked with some of the world’s largest and most prestigious companies, including Amazon, United Nations, Harvard, 2020 Tokyo Olympic Games, KPMG, Boston Consulting Group, IBM, and Allianz.
Thrive in the Digital Age: Gisma Partners with SAP
Gisma is a proud member of the prestigious SAP University Alliances program, offering unparalleled opportunities for our students and staff. This exclusive partnership provides access to SAP’s academic materials, internships, and graduate programs. Our students benefit from open access to SAP training, certifications, and exciting workshops on cutting-edge topics. With the support of SAP experts, we equip our students for success in the digital economy. Join us to thrive in the world of endless possibilities.
Gisma Alumni Survey
At Gisma University of Applied Sciences, we empower our students to launch successful careers. We go beyond education, providing the skills and experience they need to thrive in the professional world. Our graduates are job-ready and make a lasting impact, with many landing positions at top companies.
Alumni Survey (2022)
93%
of our students found employment six months after graduation
88%
of our Gisma students secure a job before graduation
66%
of graduates hold managerial positions in leading organisations
77%
of our graduates enjoy a salary ranging from €55k to €60k
FAQs
Frequently asked questions
Question 1: How much can I earn as a data scientist?
Becoming a data scientist can be professionally lucrative for any aspiring data science professional. According to Payscale.com, an average data scientist can earn around €55,085 each year.
Question 2: Can I start my own business after an MSc in Data Science, AI and digital business programme?
Yes. The data science and digital business programme at Gisma can provide you with sufficient business and management expertise in addition to knowledge in data science applications. This way, you can manage any online business and take data-backed decisions to grow it further.
Question 3: Will Gisma help me in getting an appropriate data science role?
Yes. Gisma has a dedicated Career Centre that offers you a wide range of placement assistance. You can seek help in refining your resume and finding contacts within the data science industry in Potsdam or Berlin. The Career Centre can also help you look for online jobs if you are interested in remote working.
Question 4: Why should I think about pursuing an MSc Data science in Germany?
Germany is renowned for its technological prowess and digitisation efforts throughout the world. German universities are also known for providing high educational standards and multiple networking opportunities. Therefore, a data science programme in Germany can only enhance your career prospects in the data science sector.
Question 5: Which are the most promising industries to work in after getting a degree in data science?
With immense applications of data science and AI across several industries, the sky’s the limit when it comes to choosing a professional domain.
However, some promising industries include automotive, robotics, aviation and healthcare.
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