Program Overview

MSc Data Science, AI, and Digital Business

This unique combination of technology and business 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.

Level Up Your Skills

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.

Programme Details

• Location: Potsdam, near Berlin
• Duration: Standard Track: 120 ECTS (24 months), Eligibility-Based Track: 60 or 90 ECTS (12 or 18 months)
• Intakes: Jan, Apr, Jul, Oct
• Tuition Fee: From € 13,000 per year (EU/Germany), From € 15,500 (International students)

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:
  • Machine learning engineer; average annual salary of € 101, 012.
  • Data scientist; average annual salary of € 139, 840.
  • Machine learning scientist; average annual salary of € 100, 392.
  • Enterprise architect; average annual salary of € 139, 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.

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

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!