About the Programme
The Master of Science in Data Analytics and Artificial Intelligence offered by Christ University and Master of Arts in Data Analytics and Artificial Intelligence by Steinbeis University, Germany is a two year collaborative Dual Degree programme. The programme consists of four semesters, in which students will learn first year in Christ University, India and Second year in Steinbeis University, Germany. This programme is designed to meet the rising demand for AI professionals who are essential in today’s data-driven world.
With organisations across various sectors, including technology, finance, healthcare, and e-commerce, increasingly relying on data insights, the need for experts who can analyze, interpret, and apply data is at an all-time high. This programme equips graduates with cutting-edge skills in advanced analytics, machine learning, and big data technologies, making them highly competitive candidates for high-paying job roles in top-tier companies. Additionally, the foundation in research methodologies opens opportunities for pursuing PhD programs across multiple disciplines, enabling graduates to contribute to innovative research and academic advancements.
Industry-Focused AI and Analytics Curriculum
Gain expertise in advanced analytics, machine learning, artificial intelligence, and big data technologies aligned with global industry needs.
High-Demand Career Opportunities
Prepare for rewarding careers in technology, finance, healthcare, e-commerce, and other data-driven industries worldwide.
Research and Innovation-Oriented Learning
Develop strong research and analytical skills that support innovation and create pathways for doctoral and academic pursuits.
Global Exposure and Cross-Cultural Experience
Build international perspectives, professional networks, and intercultural competencies through global academic collaboration.
Why Choose This Programme?
Acquire essential skills for impactful roles in the dynamic tech landscape
Bridge the gap between Engineering, Computer Science and Business skills
Extensive electives, projects, and industry exposure enhance employability
International exposure with global competency
Learn advanced techniques using the latest tools
Tailored Curriculum for emerging industry demands
Choose Your Track
Develop expertise in statistical modelling, data interpretation, and business intelligence to transform complex data into actionable insights.
Build advanced AI capabilities through machine learning, deep learning, and intelligent automation applications.
Prepare for international careers, research opportunities, and leadership roles in the evolving digital economy.
What You Will Learn
Programme Structure
The programme structure outlines the academic curriculum designed to provide a systematic progression of learning through core subjects, electives, and practical components across semesters, ensuring both theoretical understanding and skill development.
Semester 1 — Core Competency in Data Analytics and Artificial Intelligence
Semester 3 — Steinbeis University, Germany
Eligibility & Fee Structure
Career Paths
Your Career Roadmap
Select a specialisation track to explore the learning journey and career outcomes tailored to your chosen domain.
I & II Semesters Data Analyst, Junior Data Analyst, Reporting Analyst, Business Analytics Associate
III & IV Semesters Data Scientist, Business Intelligence (BI) Analyst, Advanced Analytics Specialist, Data Analytics Consultant, Machine Learning Analyst
I & II Semesters Data Analyst, Database Analyst, Junior Data Scientist, Business Intelligence Analyst, Analytics Associate
III & IV Semesters Data Scientist, Machine Learning Engineer, AI Application Developer, Artificial Intelligence(AI) Engineer, Generative AI Engineer, Research Engineer
I & II Semesters Research Associate, Junior Research Scientist, Innovation and Development Associate, Technology Research Analyst
III & IV Semesters Research Scientist, Research and Innovation Fellow, AI Research Specialist, Technology Innovation Lead
Message from the HOD
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications are open. Deadline: 2026-12-06 23:45:00.