Discover how the MSc (Master of Science) in Data Science (In collaboration with Aivancity, France) program at TMU can shape your future and empower you to make a meaningful impact in your chosen field.
M.Sc. (Master of Science) in Data Science at Teerthanker Mahaveer University (TMU) is a rigorous two-year postgraduate programme designed to merge foundational theory with hands-on expertise in Big Data Analytics, Machine Learning, Deep Learning, and Predictive Modelling. Spanning four semesters, the curriculum equips students with a comprehensive understanding of data processing, statistical modelling, and AI-powered decision-making, aligning closely with global industry standards and emerging technological trends.
Throughout the programme, students work on real-world datasets and use advanced tools and frameworks to build data-driven solutions that address complex business and societal challenges. Emphasis is placed on research, analytical reasoning, and innovation, nurturing a forward-thinking mindset essential for thriving in today’s data-centric world. Upon graduation, students are well-positioned to pursue careers as Data Scientists, Machine Learning Engineers, Data Analysts, AI Specialists, and Business Intelligence Developers across diverse sectors, including IT, finance, healthcare, manufacturing, e-commerce, and consulting.
A transparent breakdown of the investment in your future.
S.No | Fee Details | Amount |
---|---|---|
1 | Tuition Fees (1st Year) | Rs 60,000 /- ( per Semester ) |
2 | Tuition Fees (2nd Year) | Rs 12,500 /- ( per Year ) |
3 | Examination Fees | Rs 5,000 /- ( per Semester ) |
4 | Lab Charges | Rs 1,000 /- ( per Year ) |
5 | Admission Registration Fees | Rs 5,000 /- ( One Time ) |
6 | Admission Processing Fees | Rs 2,500 /- ( One Time ) |
7 | Application Fees | Rs 1,000 /- ( per Year ) |
Your pathway to joining our esteemed program. Understand the criteria and process.
Have questions about the criteria or process? Our admissions team is here to help!
Contact AdmissionsConnecting talent with industry leaders to foster successful careers and drive innovation.
Laying the groundwork with fundamental scientific principles and an introduction to pharmaceutical sciences.
Continuing the exploration of core pharmaceutical subjects and introductory biochemistry.
Advancing into complex organic chemistry, physical pharmaceutics, and microbiology.
Here are several prominent career paths you can pursue after earning your MSc (Master of Science) in Data Science (In collaboration with Aivancity, France):