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M.Sc. Statistics

Programme Overview

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.

Duration

2 Years

Applications Open for 2025

Programme Name

M.Sc. Statistics

Fee Per Year

Rs. 1,00,000

Highest CTC
INR 10 LPA

Scholarship

Information on Scholarship 2025 will be updated shortly. Please check back soon.

Eligibility

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 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 Process

The selection process for M.Sc. Statistics is based on MIT-WPU CET Entrance Examination 2025 & Personal Interaction.
(The exact date and time of the online Examination and Personal Interaction will be communicated to the candidate once scheduled.)
*Note: MIT-WPU retains the right to make changes to any published schedule. Any other criterion declared from time to time by the appropriate authority as defined under the Act.

Career Prospects

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

M.Sc. Statistics

Analytics Consultants

Analytics Programmers

Biostatistician

Business advisors and strategists

Business Analysts

Clinical data analysts

Data analysts

Data scientists

Management Analysts

Market research analysts