M.SC. (Master of Science Program): Statistics
by SVKM's NMiMS - School of ScienceMumbai |
Request Info |
Eligibility: (Pre-requisites) | A student seeking admission to the M.Sc. Statistics program must have passed the B.Sc. Examination in Statistics of any recognized University and scored not less than 60% marks. |
Medium of instruction: | English |
Statistics is a rapidly, expanding discipline with openings in practically all industries and service sectors. This is particularly true for the fast growing Insurance sector, which heavily depends on statisticians and actuaries. Unfortunately, the limited availability of seats for the Masters Programme at the Universities level has curtailed academic growth and upward mobility of graduates in Statistics. Moreover, the programmes currently being offered by most Universities lack flexibility and ability to respond to the immediate demands of market forces. This, in general often results in students being qualified but they are not employable.
Considering this scenario and also the fact that there is a need to develop highly skilled manpower which can fulfill the needs as well as demands of an industry which is subject to constantly challenging and evolving market forces, the NMIMS (Deemed-to-be University), which is known for its dynamism and flexibility in designing courses to suit the need of the hour, now has a unique Master Programme in Statistics, under the School of Sciences.
DURATION
The rigorous course work is spread over 6 trimesters, including a Research Project.
INTAKE
A total of 20 seats are available for the M.Sc. program in Statistics.
DEAN’S MESSAGE
The School of Science (SOS) is a newly founded endeavor of the prestigious SVKM’S NMIMS (Deemed-to-be University), in its efforts to diverge to various disciplines of higher education and learning. The SOS evolved in 2007-2008, with a view to provide undergraduates and post graduates an opportunity to embark on a challenging, yet exciting domain of Pure and Applied Sciences. At the SOS, we offer unique multi- as well as inter-disciplinary programs, viz, Post graduate program in Statistics; Integrated Post-graduate-Doctoral program in Biological Sciences and Chemical Sciences and a Doctoral program in Biological Sciences and Chemical Sciences.
There is a major emphasis on ‘Research’ in all the programs offered at the SOS. We are strongly driven by a highly qualified scientific talent pool. The main focus of our R & D activities has been conducting applied research at the interface of Chemistry and the Biosciences on problems of national and international importance.
Our strategic future plan involves inclusion of innovative areas of inter-disciplinary research, in specific areas through the application of new and cutting-edge technologies.
I welcome you all to an enjoyable and stimulating learning experience at the SOS and look forward to working together to help us achieve our goal, to be recognized as a ‘Centre of Excellence’.
Dr. Aparna Khanna
Dean, School of Science
Board of Studies
List of members on Board of Studies in Statistics |
|
Prof. Y.S. Sathe |
Chairman, Ex-Head & Professor (Dept of Statistics) University of Mumbai |
Dr. M. N. Welling |
Pro -VC, NMIMS, Mumbai (Special Invitee) |
Dr. (Smt.) Gita Kumta |
Professor, School of Business Management, NMIMS, Mumbai |
Mr. Sunil Shirvaikar |
Director (Operations), IMS Health Information Systems, Mumbai |
Prof. Anjali Khandeparkar |
Head, Dept of Statistics, SIES College, Mumbai |
Prof. Jyotsna Tendulkar |
Head, Dept of Statistics, K. J.Somaiya College of Science, Mumbai |
Prof. P.G. Patki |
Senior Lecturer, Bhavan’s College, Mumbai |
Prof. A. D. Dabade |
Lecturer, Mithibhai College, Mumbai |
Prof. Leena Kulkarni |
(Convener), Assistant Professor, School of Science, NMIMS, Mumbai |
Value Proposition
-
Unique Programme
-
Extensive course work in line with the requirements of Industry, thus adding value to the degree
-
Development of skills to use statistical and computational techniques as research/data analysis tools
-
In built opportunity to improve soft skills as well as scientific writing
-
Grading system at par with international standards
-
A system of continuous evaluation through seminars, quizzes and practicals
-
Guest faculty drawn from a pool of experts from Industry/academia
-
Innovative teaching methods involving continuous interaction amongst faculty and students
Program Objectives
• Modern facilities to provide ambience and support for curricular and extra-curricular activities for the overall development of students
• Dedicated, qualified faculty to ensure high standard of teaching, learning and evaluation processes
• Periodic review and revision of curricula based on feedback from the industry with quick response to ensure the relevance of the programmes to the changing needs of industry
• Trimester system with proper planning to utilize the resources effectively and efficiently
• Industry based project work as part of the curricula to get recognition and reward to the students in the form of job offer or support for further studies and research
• The program will be offered from Monday to Saturday
• Every student will have to complete a research project, preferably industry oriented
Pedagogy
The course lays emphasis on the overall development of computational and analytical skills of a student coupled with an expansion of his/her knowledge base through an interdisciplinary course. The course comprises of lectures and practicals in the first year and subsequently fine tuning these skills.
The course is reviewed regularly in consultation with our Board of Studies, which comprises of experts from academia, research institutions and industry. Thus, the course is tailor made to fulfill the requirements needed to keep pace with the current developments in industry.
While the student will have ample opportunity to acquire hands-on training on modern softwares wherever necessary, he/she will also be able to benefit from the expertise of one or more supervisors, wherever needed.
In the first year, along with the permanent faculties, the regular lectures are also conducted by visiting faculties who are experts in their respective fields. Apart from the course work, the Faculty also conducts Guest lectures by eminent academicians and statisticians to ensure learner centric environment.
Admission Criteria Process
Students who satisfy the requirements of the two-stage selection process will be considered for admission to this course.
STAGE 1
All eligible candidates will be required to appear for a Written Test to be conducted at the NMIMS campus in Mumbai. The venue will be announced sufficiently in advance of the test date.
STAGE 2
Based on the performance in the written test candidates will be short-listed and called for a personal interview at the NMIMS Campus, Mumbai.
Based on the performance in Stages 1 and 2, a composite merit list will be prepared as per criteria laid down by the University.
Evaluation Criteria
The students will be required to have a minimum attendance of 80%. The students will be evaluated through trimester end exams and through continuous internal assessment.
Internal assessment will be on the basis of fortnightly tests based on Theory. Practical work will be evaluated each week during the course of the regular practicals. Seminars will be evaluated weekly. The grade will be awarded at the end of the year on the basis of Cumulative Grade Point Average.
Placements
A placement cell has been formed at the Department of Statistics, School of Science.
The details of the same are as follows:
Placement Office address: SVKM’S NMIMS Deemed-to-be University, C/O C.B Patel Research Centre, Bhaidas Building, 3rd floor, Bhakti Vedant Swami Marg, JVPD, Vile-Parle (W), Mumbai 400 056, India |
|
Placement advisor: Mr. Sunil Shirvaiker, Associate Professor, Department of Statistics, School of Science |
|
Placement coordinator: Ms. Sneha Kotian, Department of Statistics, School of Science |
|
Student coordinators: Ms. Aditi Ganesh Mr. Anuj Saxena |
Course coordinator: Ms. Neena Jamsandekar
|
A placement brochure has been prepared and is available on the School of Science website.
Curriculam
M.SC. (Master of Science Program): Statistics
The curriculum for the M.Sc. Statistics Program is as follows:
First Year |
|
Trimester |
Topic Description |
Trimester I |
Paper I: Distribution Theory |
Paper II: Sampling Theory and Applications |
|
Paper III: Linear Algebra and Numerical Methods |
|
Paper IV: Statistical Computing-I |
|
Trimester II |
Paper I: Probability Theory and Applications |
Paper II: Parametric Inference- Estimation |
|
Paper III: Linear models |
|
Paper IV: Statistical Computing-II |
|
Trimester III |
Paper I: Testing of Hypothesis |
Paper II: Designs of Experiments |
|
Paper III: Regression Analysis |
|
Paper IV: Statistical Computing-III |
|
Trimester IV |
Paper I: Multivariate Analysis |
Paper II: Stochastic Processes-I |
|
Paper III: Project and dissertation |
|
Paper IV: Statistical Computing-IV |
|
Trimester V |
Paper I: Non-Parametric Inference |
Paper II: Time Series Analysis |
|
Paper III: Project and dissertation |
|
Paper IV: Project and dissertation |
|
Trimester VI |
Paper I: Optimization Techniques/ Biostatistics |
Paper II: Survival Analysis/Data Mining |
|
Paper III: Computational Statistics |
|
Paper IV: Financial Statistics/Industrial Statistics |
Classroom - Regular | ||||
When | Duration | Where | Remarks | Price |
Not Specified | Not Specified | All Venues | Not Specified | Price On Request |
SVKM's NMiMS - School of Science
School of Science was started in 2007 with a view to provide undergraduate and post graduate students an opportunity to be a part of the unique learning methodology of the university, which lays emphasis on academic excellence combined with industry oriented training. With the boom in information technology and more and more sophistication in instrumentation techniques, there is now a very thin dividing line between the various disciplines of science. Therefore, there is a greater need for flexibility in scientific thought as well as training manpower on an interdisciplinary plane. With this thought in view, the SVKM’s NMIMS introduced, highly innovative and unique interdisciplinary courses at the School of Science from the academic year 2007-2008. The goal of the School of Science is to be a Center of Excellence in the domain of Pure and Applied Science by providing quality education and research.