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 dynamic two-year postgraduate programme that blends deep theoretical knowledge with practical skills in Big Data Analytics, Machine Learning, Deep Learning, and Predictive Modelling. The curriculum is carefully structured to provide students with a solid foundation in data processing, statistical modeling, and AI-driven decision-making, aligned with the latest industry demands and global data science trends.
Students engage in hands-on training using real-world datasets and cutting-edge tools and technologies, enabling them to develop actionable insights and intelligent solutions across various domains. The programme encourages research and innovation, fostering a problem-solving mindset essential for success in the evolving tech landscape.
Career Opportunities: Graduates of this programme are well-prepared for a range of in-demand roles such as Data Scientist, Machine Learning Engineer, Data Analyst, AI Specialist, and Business Intelligence Developer, with opportunities across sectors like IT, finance, healthcare, retail, manufacturing, and e-commerce.
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):