About US

NMIMS 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.

Nilkamal School of Mathematics, Applied Statistics & Analytics, and the School of Mathematics, Applied Statistics & Analytics (NSOMASA) at NMIMS University offers a range of programs designed to elevate the skills of both students and professionals with cutting-edge technologies. Esteemed academics steer learners through a comprehensive curriculum, equipping them with the knowledge and expertise crucial for success in today's dynamic landscape.

BSc Programs


Four year full-time degree programs offered at Mumbai campus

Applied Mathematical Computing

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Data Science

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Applied Statistics & Analytics

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Eligibility

  • 12th class or equivalent from a recognized board with not less than 45% from any stream with Mathematics and/ or Statistics as one of the subject. Candidates passing out in 2024 and passed out in 2023 can apply.
  • For International Baccalaureate Diploma, IB Certificate or DP or CP awarded candidates with 24 credits compulsory and has passed 3 subjects at Higher Level (HL) and 3 subjects at Standard Level (SL) mandatorily from any stream can apply.

B Sc (Applied Mathematical Computing)

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B Sc (Data Science)

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B Sc (Applied Statistics & Analytics)

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Eligibility

  • 12th class or equivalent from a recognized board with not less than 45% from any stream with Mathematics and/ or Statistics as one of the subject. Candidates passing out in 2024 and passed out in 2023 can apply.
  • For International Baccalaureate Diploma, IB Certificate or DP or CP awarded candidates with 24 credits compulsory and has passed 3 subjects at Higher Level (HL) and 3 subjects at Standard Level (SL) mandatorily from any stream can apply.

SYLLABUS OVERVIEW

B.Sc. (Applied Mathematical Computing)

B.Sc (Applied Statistics & Analytics)

B.Sc. (Data Science)

Semester I +
  • 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
Semester II +
  • 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
Semester III +
  • 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
Semester IV +
  • Optimization Techniques
  • Integral calculus
  • OptimizationTechniques Lab
  • Integral calculus Lab
  • Multivariable Calculus
  • Numerical Analysis
  • Multivariable Calculus & Numerical Analysis Lab
  • Principle of Management
  • Research Discourse I
  • Leadership & Personality Development
Semester V +
  • 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
Semester VI +
  • 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
Semester VII +
  • 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
Semester VIII +
  • Elective I-Mathematical Computing(Complex Analysis)
  • Elective I-Financial Computing(Stochastic Finance)
  • Open Elective IV -Introduction to Cryptography
  • Internship/ Capstone Project
Semester I +
  • 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
Semester II +
  • 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
Semester III +
  • 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
Semester IV +
  • 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
Semester V +
  • 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
Semester VI +
  • 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
Semester VII +
  • 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
Semester VIII +
  • HR Analytics &Operation Analytics
  • Open Elective IV-Analytics Track (Advanced Operations Research)
  • Internship/Capstone Project
Semester I +
  • 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
Semester II +
  • 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
Semester III +
  • 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
Semester IV +
  • 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
Semester V +
  • 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
Semester VI +
  • 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
Semester VII +
  • 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
Semester VIII +
  • 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

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

Synergy between industry and academia

Tools Covered

ToraTora
MySQLMySQL
ExcelExcel
TableauTableau
Apache SparkApache Spark
NumPyNumPy
SciPySciPy
MatplotlibMatplotlib
PandasPandas
TensorFlowTensorFlow
spaCyspaCy
PythonPython
OracleOracle
R StudioR Studio
SymPySymPy
AnacondaAnaconda
OpenCVOpenCV

Steps to Register for NMST

Steps to Register

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Top Recruiters

Amazon India
Accenture
Aditya Birla
Deloitte
Axis Bank
HDFC Bank
Citi Bank
IDFC First Bank
Reserve Bank of India
RBL Bank
Morgan Stanley
Yes Bank
Eli Lily
Pfizer
Merck
D. E. Shaw
Worley
L&T Finance
ZS Associates
Abbott
Quantiphi
Munich Re
Crisil
Johnson & Johnson
Emcure

Top Recruiters

Amazon India
Accenture
Aditya Birla
Deloitte
Axis Bank
HDFC Bank
Citi Bank
IDFC First Bank
Reserve Bank of India
RBL Bank
Morgan Stanley
Yes Bank
Eli Lily
Pfizer
Merck
D. E. Shaw
Worley
L&T Finance
ZS Associates
Abbott
Quantiphi
Munich Re
Crisil
Johnson & Johnson

Life at NMIMS

Annual Cultural Fest

Convocation 2024

Industry-Academia Connect

Rhythm of Tradition and Talent

Perfect candidate competition

Atrium at NMIMS campus

We Care social internship

Life at NMIMS

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NMIMS AT A 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.

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.

43

YEARS OF LEGACY

26000

+

FULL-TIME STUDENTS

850

+

FACULTY MEMBERS

7

CAMPUSES

17

SPECIALIZED SCHOOLS

43

YEARS OF LEGACY

26000

+

FULL-TIME STUDENTS

850

+

FACULTY MEMBERS

7

CAMPUSES

17

SPECIALIZED SCHOOLS

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