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M.Sc. in Statistics

Best M.Sc. in Statistics College in Uttar Pradesh

Overview

The M.Sc. in Statistics program at Shri Ramswaroop Memorial University (SRMU) is designed to equip students with a robust understanding of statistical theory and its practical applications across various industries. The curriculum is meticulously crafted to cover advanced topics in probability, inferential statistics, linear models, multivariate analysis, and statistical computing. Students are exposed to the latest software and tools used in data analysis, ensuring they are well-prepared to tackle complex data-driven challenges in the real world. The program emphasizes hands-on learning through projects, case studies, and internships, providing students with valuable practical experience and enhancing their problem-solving skills.

At SRMU which is the best university in Uttar Pradesh, the M.Sc. in Statistics program also offers opportunities for interdisciplinary learning and research. Students can collaborate with departments such as computer science, economics, and bioinformatics, broadening their knowledge and application areas. The faculty comprises experienced academicians and industry experts who bring a wealth of knowledge and insights into the classroom. Additionally, SRMU's strong industry connections and placement support services help students secure rewarding career opportunities in sectors such as finance, healthcare, technology, and government. Graduates from this program are well-equipped to pursue roles as data analysts, statisticians, biostatisticians, and quantitative analysts, among others, making significant contributions to their chosen fields.

NAAC

Accredited

30 LPA

Highest Package

4.5 LPA

Average Package

100%*

Placement

Eligibility Criterion

A three/four year Bachelor's degree with Statistics/Mathematics as a main subject or equivalent degree awarded by a University or Institute established as per law and recognized as equivalent by this University with minimum 45% marks or CGPA of 5.0 for Gen/OBC and 40% marks or CGPA of 4.5 for SC/ST Category, shall constitute the minimum requirement for admission to the Master in Statistics programme.

Why SRMU?

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Continuous evaluation system providing students several opportunities to improve their grades

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Curriculum developed by the experts from industry and university researchers

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100% placement assistance and internship assurance in reputed schools

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Programs designed in line with the New Education Policy (NEP-2020) for skill enhancement

Entrepreneurship Development

Entrepreneurship Development

Industry Interface

Industry Interface

Centre of Excellence

Centre of Excellence

Knowledge Partner

Knowledge Partner

Program Fee

Duration (in Year)1 Year2 Year
Course fee4700047000
Student Welfare Fund100100
Caution Money50000
Total Fee5210047100
Hostel Fees + Caution Money (1st Yr. Only)8500080000
Transportation Fees3500035000

Alumni Fee: 500

Degree Fee: 1000

Both these fees are payable in the final year of the program

Scholarship Schemes

Career Counselling at Shri Ramswaroop Memorial University offers counselling to students, guiding the young minds by helping them to understand their strength and also to sail through at all levels in the job market.

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Department Highlights

Achievements

  • International Seminar on "Emerging Trends in Mathematics and Its Applications" was organized by Faculty of Mathematical & Statistical Sciences on 23March 2023

  • 2 nd National Conference on Recent Trends in Mathematics with Applications (NCRTMA-20), organized by Faculty of Mathematical and Statistical Sciences, Institute of Natural Sciences and Humanities, Shri Ramswaroop Memorial University, Lucknow-Deva Road, Uttar Pradesh, India on 30-31 January 2020

  • Dr. Akhilesh Kumar Mishra awarded  Teaching Learning Innovation Award by Internal Quality Assurance Cell, Shri Ramswaroop Memorial University at Ist position (Department Level) for the academic year 2023-24, for his contribution in the use of innovative teaching learning methods

Research

  • 70+ Research Papers published in reputed journals

  • 04+ Books and Book Chapters published

  • 02+ Ph.D. Awarded

  • 04+ Research/ Consultancy Projects Completed

Labs

  • Vedic Science Center

  • SPSS Lab

  • Computer Lab

  • Communication Lab

  • Research Lab

Beyond Academics

  • Guest Lecture on “Convex Optimization and its Applications” was organized by Faculty of Mathematical and Statistical Sciences, Institute of Natural Sciences and Humanities, Shri Ramswaroop Memorial University, Lucknow-Deva Road, Uttar Pradesh, India on 13 March 2019. The eminent speaker was Dr. Vinay Singh Assistant Professor and Head, Department of Mathematics, NIT, Mizoram

  • World Environmental E-Quiz, organized by Faculty of Mathematical and Statistical Sciences, Institute of Natural Sciences and Humanities, Shri Ramswaroop Memorial University, Lucknow-Deva Road, Uttar Pradesh, India on 5 June 2020

PO, PLO & PSO


Program Objectives
  1. To train qualified, adaptable, motivated, and responsible Statisticians who will contribute to the scientific and technological development.

  2. To develop the statistical skills needed in modeling and solving practical problems.

  3. To prepare students to face the present challenges in different field of Statistics.

  4. To develop an outlook and high level study skills that will be hugely valuable whatever career path follow after post graduation.

  5. To impart an intensive and in-depth learning to the students in the field of Statistics.

  6. To develop students’skills in dissertation writing.

  7. The programme also provides students with the knowledge and opportunity to progress towards a Doctorate programme.


Program Learning Outcomes
  1. Handle and analyze large databases with computer skills and use their results and interpretations to make practical suggestions for improvement

  2. Apply analytic, numerical and computational skill to analyze and solve higher Statistical problems.

  3. Apply knowledge of higher Statistics with integrative approach in diverse fields.

  4. Acquire appropriate skill in higher Statistics to handle research oriented scientific problems.

  5. Gain specific knowledge and understanding will be determined by your particular choice of modules, according to your particular needs and interests.

  6. Communicate scientific information effectively in written and oral formats.

  7. The basic and advanced knowledge attained by student will also make him/her enable to inspire them to pursue higher studies.

  8. Apply their responsibilities in social and environmental context.


Program Specific Outcomes

Scopein Companies

By pursuing this program the students will get an in-depth understanding into the modern emerging technologies. They will also get an endless exposure to endless career possibilities.

  • Data Analyst

  • Statistician

  • Data Scientist

  • Biostatistician

  • Quantitative Analyst

  • Market Research Analyst

  • Operations Research Analyst

  • Actuary

  • Academic/Researcher

  • Business Intelligence Analyst

  • Epidemiologist

  • Statistical Programmer

  • Policy Analyst

  • Environmental Statistician

  • Sports Statistician

You can easily be absorbed in above positions at Organizations like:

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Further Study Opportunities

Frequently Asked Questions

M.Sc. Statistics is a two-year postgraduate program that focuses on statistical theories, data analysis, probability, mathematical modeling, research methods, and statistical computing. The course helps students develop skills to collect, analyze, interpret, and use data for decision-making in industries such as finance, healthcare, technology, research, business analytics, and government sectors.
Candidates who have completed a bachelor's degree with Statistics, Mathematics, Economics, Computer Science, or a related discipline from a recognized university are generally eligible for M.Sc. Statistics admission. Students must fulfill the eligibility criteria prescribed by the university.
Students should compare colleges based on faculty expertise, statistical computing facilities, curriculum, research opportunities, industry exposure, and career support. Shri Ramswaroop Memorial University (SRMU) offers an advanced M.Sc. Statistics program focused on analytical skills, research-based learning, and practical applications of statistics.
The fee structure for M.Sc. Statistics varies among universities depending on academic facilities, faculty expertise, infrastructure, laboratory resources, and student services. Students should also consider hostel charges, examination fees, and scholarship opportunities while planning their education.
The M.Sc. Statistics curriculum generally includes Probability Theory, Statistical Inference, Regression Analysis, Sampling Theory, Multivariate Analysis, Time Series Analysis, Statistical Computing, Operations Research, Data Analysis, Biostatistics, Econometrics, and Research Methodology.
M.Sc. Statistics graduates can work as Data Analysts, Statistical Analysts, Data Scientists, Business Analysts, Research Associates, Actuarial Analysts, Biostatisticians, Risk Analysts, Market Researchers, and Statistical Consultants. The program also provides opportunities in government organizations, banking, healthcare, and technology sectors.
Salary after M.Sc. Statistics depends on technical skills, data analysis expertise, programming knowledge, employer, industry, and experience. Professionals with skills in statistical software, data analytics, machine learning, and programming can access strong career opportunities in data-driven industries.
Yes. Students receive practical training, statistical software exposure, research projects, workshops, seminars, skill development programs, and placement assistance. Career growth depends on analytical ability, technical skills, problem-solving approach, and practical experience.
Yes. After completing M.Sc. Statistics, students can pursue a Ph.D. in Statistics, Applied Statistics, Data Science, Biostatistics, Econometrics, Operations Research, or related fields. A doctoral degree can lead to careers in research, academics, advanced analytics, and scientific organizations.
SRMU offers experienced faculty, analytical learning opportunities, research-oriented curriculum, modern learning resources, practical exposure, and academic support. The program helps students develop statistical, computational, and analytical skills required for careers in data science, research, finance, healthcare, business analytics, and education.

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