![NMIMS School of Mathematics, Applied Statistics & Analytics - [SoMASA]](https://image-static.collegedunia.com/public/college_data/images/logos/1580888371nmimslogo.jpg?h=71.7&w=71.7&mode=stretch)
NMIMS SoMASA M.Sc. (SDS) FAQs
Ques. What is the difference between M.Sc. Statistics & Data Science and M.Sc. Applied Statistics & Analytics at NMIMS NSoMASA?
Ans. Both are 2-year full-time programmes at NSoMASA, but they differ in focus and eligibility. M.Sc. Statistics & Data Science requires a Statistics background (B.Sc. Statistics or Statistics as a subject in graduation) and blends classical statistics with Data Science, Machine Learning, and Big Data. M.Sc. Applied Statistics & Analytics has broader eligibility (any stream with Mathematics/Statistics in Class 12) and focuses more on applied statistical methods and analytics. The personal interview for both programmes is common, but the written entrance test syllabus differs slightly.
Ques. Is the M.Sc. Statistics & Data Science at NMIMS NSoMASA a good option for someone wanting to transition into data science from a pure Statistics background?
Ans. Yes, this programme is specifically designed for Statistics graduates who want to add data science skills to their profile. The curriculum integrates core statistics (Probability, Statistical Inference, Sampling Theory, Design of Experiments) with modern data science tools (Python, R, Machine Learning, Deep Learning, Big Data). The industry internship in Semester 4 provides real-world exposure. Graduates have secured roles as Data Scientists, Statisticians, and Analysts at companies like Accenture, Munich Re, Amazon, and D.E. Shaw.
Ques. What is the selection process for M.Sc. Statistics & Data Science at NMIMS NSoMASA, and how competitive is it?
Ans. The selection is a two-stage process: a 90-minute online written test (70 marks, covering aptitude and statistics/data science domain knowledge) followed by a personal interview (30 marks). The final merit list is based on the combined score of 100 marks. With 60 seats available and the programme being relatively niche, competition is moderate compared to MBA programmes. However, a strong foundation in Statistics and good aptitude scores are essential for selection.
Ques. What tools and software are taught in the M.Sc. Statistics & Data Science programme?
Ans. The programme provides hands-on training in R Studio, Python, MS Excel, SPSS, Base SAS, and SAS Predictive Modelling. Students also work with statistical and machine learning frameworks for data analysis, predictive modelling, and big data processing. Mini-projects each semester ensure practical application of these tools in real-world scenarios.
Ques. Can a student from a non-Statistics background apply for M.Sc. Statistics & Data Science at NMIMS NSoMASA?
Ans. No. Unlike M.Sc. Applied Statistics & Analytics (which has broader eligibility), M.Sc. Statistics & Data Science specifically requires candidates to hold a Bachelor's degree in Statistics, or a Bachelor's degree with Statistics as one of the subjects in the final year, with a minimum of 50% aggregate marks. Students from non-Statistics backgrounds should consider M.Sc. Applied Statistics & Analytics or M.Sc. Data Science instead, depending on their undergraduate discipline.
Ques. What are the career prospects and higher study options after M.Sc. Statistics & Data Science from NMIMS NSoMASA?
Ans. Graduates can pursue careers as Data Scientists, Statisticians, Quantitative Analysts, Business Analysts, and Research Scientists across sectors like banking, insurance, pharma, technology, and consulting. Top recruiters include Deloitte, Accenture, Amazon, D.E. Shaw, ZS Associates, and Munich Re. For higher studies, graduates can apply for Ph.D. programmes in Statistics or Data Science at IITs, IISc, or international universities. The strong statistical foundation also makes graduates eligible for actuarial science certifications and roles in risk analytics.
Comments