About Us

NMIMS Mathematical Science Test (MST) is a university-level entrance exam for admission to all undergraduate programs offered by the NMIMS Nilkamal School of Mathematics, Applied Statistics & Analytics (NSOMASA). This exam serves as a gateway for students aspiring to pursue academic excellence in fields related to mathematics, statistics, analytics and data science. The programs are offered at the Mumbai campus and seamlessly blend theoretical rigour with practical applications, equipping students with the knowledge and technical expertise required in today’s competitive job market.

Programs Offered

BSc Applied Mathematical Computing

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BSc Data Science

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BSc Applied Statistics & Analytics

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Eligibility

  • Please refer to the details in the handout document.

Syllabus Overview

B.Sc. (Applied Mathematical Computing)

  • Univariate Calculus
  • Elementary Number Theory
  • Exploratory Data Analysis
  • Functional Programming
  • Univariate Calculus and Number Theory Lab
  • Exploratory Data Analysis Lab
  • Functional Programming Lab
  • Introduction to R
  • Effective Communication
  • Ecology and Environment
  • Optimization Techniques
  • Multivariate Calculus
  • Numerical Analysis
  • Optimization Techniques Lab
  • Multivariate Calculus & Numerical Analysis Lab
  • Data Visualization Principles & Applications
  • UnSupervised Machine Learning Techniques
  • Data Visualization & Unsupervised Machine Learning Lab
  • Principles of Management
  • Research Discourse-I
  • Leadership & Personality Development
  • Partial Differential Equations
  • Integral Transform
  • Open Elective I-Financial Computing(Financial Engineering)
  • Open Elective I-Mathematical Computing(Introduction to Quantum Computation)
  • Open Elective III -Mathematical Modelling and Simulation
  • Partial Differential Equations & Integral Transform Lab
  • Financial Engineering Lab
  • Quantum Computation Lab
  • Econometrics
  • Research Discourse III
  • Differential Calculus
  • Mathematics of Discrete Structures
  • Statistical Methods
  • Data Analysis using Python
  • Differential Calculus and Mathematics of Discrete Structures Lab
  • Statistical Methods Lab
  • Data Analysis using Python Lab
  • Indian Culture and Civilization
  • Professional Skills
  • Global Environmental Management
  • Abstract Algebra
  • Advance Numerical Analysis
  • DS Elective I-Mathematical Computing
  • (Advance Graph Theory)
  • DS Elective II-Financial Computing(Financial Modelling)
  • Open Elective I -Network Science
  • Abstract Algebra & Advance Numerical Analysis Lab
  • Advance Graph Theory Lab
  • Financial Modelling Lab
  • Fundamental of Finance
  • Research Discourse II
  • Elective I-Mathematical Computing(Complex Analysis)
  • Elective I-Financial Computing(Stochastic Finance)
  • Open Elective IV -Introduction to Cryptography
  • Internship/ Capstone Project
  • Statistical Techniques
  • Data Management
  • Statistical Techniques Lab
  • Data Managment Lab
  • Linear Algebra
  • Differential Equations
  • Linear Algebra & Differential Equations Lab
  • Introduction to Economics
  • Research Methodology
  • Art of Yoga
  • Metric Spaces
  • Numerical Linear Algebra
  • DS Elective I-Mathematical Computing (Mathematical Biology )
  • DS Elective II-Financial Computing(Stochastic Calculus)
  • Open Elective II -Applied Linear Algebra
  • Metric Spaces & Numerical LinearAlgebra Lab
  • Mathematical Biology Lab
  • Stochastic Calculus Lab
  • Project Management
  • Research Discourse III

B.Sc (Applied Statistics & Analytics)

  • Exploratory Data Analysis
  • Introduction to Probability Theory
  • Calculus & Differential Equations
  • Functional Programming
  • Exploratory Data Analysis & Probability Theory Lab
  • Calculus & Differential Equations Lab
  • Functional Programming Lab
  • Introduction to R
  • Effective Communication.
  • Ecology and Environment
  • Numerical Analysis
  • Multivariate Calculus
  • Numerical Analysis Lab
  • Operation Research
  • Designs of Experiments
  • Hypothesis Testing
  • Designs of Experiments, Operation Research & Hypothesis Testing Lab
  • Principles of Management
  • Analytics In Practice-I
  • Leadership & Personality Development
  • Stochastic Modelling
  • Quality Management
  • Statistical Modelling in Marketing Analytics
  • Open ElectiveIII -Analytics Track (Multivariate Analysis)
  • Econometrics
  • Stochastic Modelling & Quality Management Lab
  • Analytics In Practice-IV
  • Descriptive Statistics
  • Probability Distributions
  • Mathematics of Discrete Structures
  • Data Analysis using Python
  • Descriptive Statistics & Probability Distributions Lab
  • Data Analysis using Python Lab
  • Mathematics of Discrete Structures Lab
  • Indian Culture and Civilization
  • Professional Skills
  • Global Environmental Management
  • Actuarial Science
  • Regression Analysis
  • Applied Multivariate Analysis
  • Open Elective I -Analytics Tack (Time Series & forecasting)
  • Regression & Actuarial Science Lab
  • Fundamentals of Finance
  • Analytics In Practice-II
  • HR Analytics &Operation Analytics
  • Open Elective IV-Analytics Track (Advanced Operations Research)
  • Internship/Capstone Project
  • Linear Algebra
  • Data Management
  • Linear Algebra Lab
  • Data Management Lab
  • Sampling Distributions & Applications
  • Estimation Theory
  • Sampling Distributions & Estimation Theory Lab
  • Introduction to Economics
  • Research Methodology
  • Art of Yoga
  • HealthCare & Pharma Analytics
  • Time Series
  • Statistical Modelling in Financial Risk
  • Open Elective II-Analytics Track (Business Analytics)
  • HealthCare & Pharma Analytics &Time Series Lab
  • Project Management
  • Analytics In Practice-III

B.Sc. (Data Science)

  • Introduction to Computational Thinking & Data Science
  • Functional Programming
  • Exploratory Data Analysis
  • Calculus & Differential Equations
  • Computational Thinking & Functional Programming Lab>
  • Exploratory Data Analysis Lab
  • Calculus & Differential Equations Lab
  • Introduction to R
  • Effective Communication
  • Ecology & Environment
  • Optimization Techniques
  • Multivariate Calculus
  • Numerical Analysis
  • Optimization Techniques Lab
  • Multivariate Calculus & Numerical Analysis Lab
  • Data Visualization Principles & Applications
  • UnSupervised Machine Learning Techniques
  • Data Visualization & Unsupervised Machine Learning Lab
  • Principles of Management
  • Research Discourse-I
  • Leadership & Personality Development
  • Big Data Systems
  • Natural Language Processing
  • DS Elective I - Cloud Computing Track (Cloud Computing Technologies )
  • DS Elective II - Security Track ( Cryptography & Cryptoanalysis )
  • Open Elective III- Deep Learning Teachniques
  • Big Data Analytics, Natural Language Processing Lab
  • Elective Lab
  • Econometrics
  • Research Discourse-IV
  • Data Structures & Algorithms
  • Data Analysis Using Python
  • Statistical Methods
  • Mathematics of Discrete Structures
  • Data Structures & Data Analysis using Python Lab
  • Statistical Methods Lab
  • Mathematics of Discrete Structures Lab
  • Indian Culture & Civilization
  • Professional Skills
  • Global Envrionmental Management
  • Supervised Machine Learning Techniques
  • Advanced Database Concepts
  • DS Elective I - Cloud Computing Track (Building Blocks & Services)
  • DS Elective II - Security Track(Network Security)
  • Open Elective I- Visual Analytics
  • Supervised ML, Advanced Database & DS Elective Lab
  • Fundamentals of Finance
  • Research Discourse-II
  • DS Elective I - Cloud Computing Track (Machine Learning Operations (MLOps/DevOPs)
  • DS Elective II - Security Track ( Crypto Forensics)
  • Open Elective IV- Cloud Computing
  • Internship/Capstone Project
  • Statistical Techniques
  • Linear Algebra
  • Statistical Techniques Lab
  • Applied Linear Algebra Lab
  • Data Management
  • Building Blocks of Machine Learning
  • Data Management & Machine
  • Learning Lab
  • Introduction to Economics
  • Research Methodology
  • Art of Yoga
  • Deep learning
  • Time Series and Forcasting
  • DS Elective I - Cloud Computing Track (Concepts & Design of Web Services)
  • DS Elective II - Security Track (BlockChain Technology & Security)
  • Open Elective II- Machine Learning
  • Deep Learning, Time-Series & Foreacsting & DS Elective Lab
  • Project Management
  • Research Discourse-III

Program Highlights

Industry aligned curriculum

World class
faculty

Dynamic
programs

Project based learning

Practical training in programming languages

Applied problem-solving focus

Continuous student assessment

Case-based
learning

Tools Covered

& more...

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Notable Alumni

Life @ NMIMS

NMIMS at Glance

NMIMS has been at the forefront of creating innovations and responding to the market changes much more than any other institution in the country. Started as a management school in 1981, NMIMS has been devoted to excellence in education and research and creating leaders who are socially sensitive and responsive to the environment and can make a difference globally.

44

YEARS OF LEGACY

32000

+

Full-time students

900

+

FACULTY MEMBERS

8

CAMPUSES

17

SPECIALIZED SCHOOLS

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