M.Sc. Statistics
M.Sc. Statistics is a two year full time Master’s Programme at MIT-WPU, where we transform data into insights and empower you to shape the future with numbers. Designed for aspiring statisticians and data scientists, our comprehensive program equips you with the skills and knowledge needed to thrive in a data-driven world.
Our programme covers a wide spectrum of statistical theories, methodologies, and their practical applications. Dive into courses such as Probability Theory, Regression Analysis, Multivariate Statistics, Time Series Analysis, Machine Learning, and more. Learn from esteemed faculty members who are industry experts and passionate educators, guiding you through complex statistical concepts and their real-world applications. Gain practical experience through projects, and internships with leading organisations. Apply your theoretical knowledge to solve real challenges and make data-driven decisions.
Last Date To Apply : 17 May 2024
M.Sc. Statistics
| Scholarship Name | Graduation Marks | XII Score |
| Dr. Vishwanath Karad Scholarship (100%) | 85 & Above | 85 & Above |
| MIT-WPU Scholarship I (50%) | 80 & Above | 80 & Above |
| MIT-WPU Scholarship II (25%) | 75 & Above | 75 & Above |
Note: Students will have to qualify for both the criteria i.e. Graduation Aggregate Marks and 12th Aggregate Score for availing of the scholarship.
M.Sc. Statistics: Minimum 50% aggregate score in 3/4-year graduation or equivalent from Govt. Approved Institution in relevant programme. Graduation must be in B.Sc/B.Sc.(Hons) in Mathematics, Statistics, Data Science, Machine Learning, or equivalent degree (B.E./B.Tech./B.Sc. Agri/ B.Sc. Computer Science). The candidates other than B.Sc. Statistics must have Statistics as one of the regular subjects in their undergraduate programme (at least 45% in case of candidates of Reserved Class categories belonging to Maharashtra State only).
Selection ProcessThe selection process for M.Sc. Statistics is based on MIT-WPU CET Entrance Examination 2024 & Personal Interaction.
- Highly qualified faculty, with a strong track record of research and publication
- Workshops for hands-on experience in software such as R, SAS, Python, HADOOP, SQL, SPSS
- Guest lectures, seminars, and workshops by eminent corporate leaders
- MOOCs, skill enhancement and interdisciplinary courses for holistic development
- Industry and Teaching Internship
- Dedicated Centre for Industry-Academia Partnerships to support students for internships and job placements
- MIT-WPU Technology Business Incubator (TBI) to support early-stage entrepreneurs, and students through funding, mentoring, and network connection
- Disciplinary Knowledge: Apply statistics to solve problems in economics, social sciences, science, engineering, and technology
- Critical Thinking: Identify, analyse, and solve relevant problems using domain-specific skills
- Reflective Thinking: Use modern tools and techniques, contributing to society's understanding of maths global impact
- Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions
- Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex statistics activities with an understanding of the limitations
- Problem-Solving: Graduates will design mathematics models to solve problems with appropriate consideration of public health and safety, cultural and societal and environmental considerations
admissions@mitwpu.edu.in 
