Program Review
The M.Sc. in Data Science at Atharva University, Mumbai is a rigorous postgraduate program designed to develop advanced expertise in Data Analytics, Artificial Intelligence, and Large-Scale Data Systems. The program emphasizes Research-Driven Learning, Analytical Depth, and Real-world problem solving, preparing graduates to excel in high-impact roles across industry and academia.
Students acquire strong foundations in Machine Learning, Deep Learning, Natural Language Processing, Big Data Engineering, and Cloud-Based Analytics, complemented by hands-on experience with modern AI ecosystems. Through Practical Laboratories, Industry-Oriented Projects, Internships, and a Mandatory Dissertation, learners gain exposure to scalable data architectures and intelligent system design.
The curriculum is structured to nurture Critical Thinking, Innovation, and Leadership capabilities, enabling graduates to address complex data challenges and contribute meaningfully to data-driven decision-making in global organizations or pursue advanced research and doctoral studies.
Duration & Eligibility
Requirements and selection process for the M.Sc. Data Science Program
Duration
2 Years
Eligibility
Passed any graduation degree (e.g.: B.E. / B.Tech./ B.Sc / B.Com. / B.A./ B. Voc./ BCA etc.,) preferably with Mathematics at 10+2 level or at Graduation level Obtained at least 50% marks (45% marks in case of candidates belonging to reserved category) in the qualifying examination. (for students having no Mathematics background compulsory bridge course related to computer subjects as per the norms).
Selection Process
Valid Score of MH CET 2026/ PERA CET 2026/ CUET 2026 / Atharva University All India Entrance Test and Personal Interview
Program Highlights
Advanced Curriculum
- Artificial Intelligence, Machine Learning & Deep Learning
- Big Data Analytics & Distributed Computing
- Cloud Analytics & Predictive Modelling
Hands-on Technical Training
- Apache Spark & Hadoop ecosystems
- AWS, Azure Machine Learning & Cloud Platforms
- Advanced Python libraries, Tableau & Data Visualization Tools
Industry & Research Exposure
- Industry-led workshops and expert guest lectures
- Case-study-based learning and real-world datasets
- Project Day – Every Friday (Hands -on – Learning & Portfolio Building)
- Research projects and dissertation work
State-of-the-Art Infrastructure
- Real-time analytics laboratories
- Big data processing and Cloud-enabled environments
- Apple Vision Pro for AR/VR Research, Simulation and Immersive Learning.
- India’s First Research -Gate Robotic Lab
Career & Professional Development
- Internship (Mandatory or Credit Based)
- Placement support
- Guidance for research publications and Ph.D. preparation
Career Support & Opportunities
Graduates of the M.Sc. Data Science program are well-equipped to pursue dynamic and high-growth career roles across multiple sectors, including:
Employment opportunities exist in IT and software services, consulting firms, banking and financial institutions, e-commerce and retail organizations, healthcare and life sciences, marketing and digital media agencies, manufacturing industries, and government analytics departments. Graduates may also opt for postgraduate studies and research in Data Science, Artificial Intelligence, Analytics, Computer Science, or Management.
- Data Analyst
- Business Analyst
- Associate / Junior Data Scientist
- Machine Learning Engineer
- Big Data Engineer
- Research Analyst
- AI & Analytics Associate
Program Outcomes
On successful completion of the program, graduates will be able to:
- Apply advanced AI, machine learning, and deep learning techniques to solve complex real-world data problems
- Demonstrate strong research aptitude, innovation skills, and analytical reasoning
- Design and manage scalable big data architectures and cloud-based analytics solutions
- Develop intelligent, secure, and high-performance data-driven systems
- Exhibit leadership readiness for strategic and decision-making roles in data-centric environments
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