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Home > News & Articles > MTech in Data Science: Course, Eligibility, Colleges, Syllabus, Scope, Jobs, Salary
Updated on 24th November, 2023 , 13 min read
MTech in Data Science is an abbreviation for Master of Technology in Data Science. It is a two-year PG (Postgraduate) level program, which is divided into four semesters. The program is for graduates who want to pursue a career in the field of data science.
Admission is based on the Entrance Exam score and bachelor's degree score. The entrance exam for MTech in Data Science is GATE for top colleges like IIT and a few private Universities. However, most colleges don’t require an entrance score and students can apply if they clear the eligibility criteria.
Eligibility for this states that students should have at least 60% marks in BTech/BE degree in CS/EE/IT/ECE, or an MCA, an MSc/MS/ME/MTech. degree in CS/IT. The eligibility criteria may vary from different institutions.
The fees can range from ₹50,000 - ₹2,00,000. Some of the top colleges for MTech in Data Science are IIT Delhi, IIT Mumbai, IIT Delhi, and BITS Pilani.
The syllabus for this course includes Statistics, Data Mining, Data Warehousing, and Data Visualization.
The important subjects are Mathematical Foundations of Data Science, Data Structure and Algorithm Design, Deep Learning, Machine Learning, Natural Language Processing, Artificial and Computational Intelligence, etc.
MTech in Data Science Jobs include Data Scientist, Data Analyst, Business Analyst, Data Engineer, and Machine Learning Engineer. Salary ranges from ₹7 - ₹20 LPA.
List of the top recruiters for this course are Tata Consultancy Services (TCS), Accenture, IBM, Amazon, Jio, Microsoft, Google, Deloitte, and Wipro.
Further Reading: MTech in Artificial Intelligence
Details | Particulars |
Course Name | MTech in Data Science |
Course Full Form | Master of Technology in Data Science |
Course Level | Postgraduate |
Course Type | Full-time/Part-time/Online |
Course Duration | 2 Years |
Admission Process | Entrance/Merit-based |
Entrance Exams | |
Eligibility Criteria | Candidates should have a degree in a BTech/BE degree in CS/EE/IT/ECE, or an MCA, an MSc/MS/ME/MTech. degree in CS/IT. |
Course Fees | INR 50,000 – 2 LPA |
Top Colleges | |
Average Salary in India | INR 7 – 20 LPA |
Job Profiles | Data Analyst, Data Engineer, Business Analyst, Data Scientist, Machine Learning Engineer. |
Top Recruiters | Tata Consultancy Services (TCS), Wipro, Deloitte, Amazon, Google, Microsoft, Jio. |
MTech in Data Science is a postgraduate course that focuses on the multidisciplinary convergence of Computer Science, Computational Mathematics, Statistics, and Management. This course focuses on Data analysis, visualization, predictive modeling, and analytics for data-driven decision-making. Relevant case examples will be used to teach concepts in knowledge representation, machine learning, artificial intelligence, and deep learning.
MTech in Data Science is offered in two types to students by institutions in the form of full-time classes and distance education.
Course duration can vary depending on the university and curriculum. This course is usually a two-year course. Most Indian colleges provide full-time MTech in Data Science. The two-year course is divided into 4 semesters which last for 6 months each and includes academics, elective courses, make use of Tools and Technologies, and the Dissertation in the final year. =
The cost of an MTech in Data Science may vary from university depending on factors like location, and rating of the university. Usually, universities that have a higher rating might charge more concerning the quality of education and faculty. The fees usually range from ₹50,000 - ₹2,00,000 per year.
It is very important for candidates to not only consider the fees for their preference but also other factors like college rating, level of faculty, and placement opportunities. All these factors are required to have a good career.
Pursuing MTech in Data Science in India is very advantageous for applicants as they have a variety of different colleges and universities to apply to.
Given below is a list of top colleges that offer MTech in Data Science along with their fees:
Name of the College/University | Location | Average Annual Fees |
Hyderabad | INR 50,000 | |
Bengaluru | INR 29,200 | |
Guwahati | INR 57,150 | |
Rajasthan | INR 68,500 | |
Karnataka | INR 1,93,500 | |
NMIMS Mukesh Patel School of Technology Management and Engineering | Mumbai | INR 4,50,000 |
Karnataka | INR 85,000 | |
Punjab | INR 1,20,000 |
Further reading: MTech Colleges in India
Applicants should score well in their undergraduate examinations and prepare themselves for the entrance examinations as well. Universities/ Colleges may conduct their entrance examinations, or they might accept GATE scores. However, few universities/colleges also accept applicants who score higher than the eligible score in their undergraduate degree.
Candidates are required to take entrance exams for admission into certain universities and colleges. The main entrance test that most universities accept is GATE and some universities will conduct their entrance exams.
Given below are the details of some of the entrance tests conducted by various universities.
Name of the Exam | Registration Dates | Exam Dates |
31st August – 12th October 2023 | 3rd, 4th, 10th, and 11th February 2024 | |
16th October 2023 | 20th January – 5th February 2024 |
Further Reading: MTech Entrance Exams
Here is a run-through of the subjects and topics that are usually included in the entrance exams for MTech in Data Science. These subjects and topics may vary between institutions and other entrance exams.
Subjects | Topics |
Probability and Statistics | Permutations and Combinations, Probability Axioms, Conditional and Joint Probability, Mean, Median, Mode and Standard Deviation, Correlation and Covariance, discrete random variables, and probability mass functions, etc. |
Linear Algebra | Vector Space, Matrices, Matrix (Projection, Orthogonal, Idempotent, Partition) and their properties, Quadratic Forms, Systems of Linear Equations and Solutions, Gaussian Elimination, etc. |
Calculus and Optimization | Functions of a single variable, limit, continuity, and differentiability, Taylor series, maxima and minima, optimization involving a single variable. |
Programming, Data Structures and Algorithms | Programming in Python, Basic Data Structures: Stack Queues, Hash Table; Search Algorithms: Linear Search, Binary Search, Basic Sorting Algorithms, etc. |
Database Management and Warehousing | ER-Model, SQL, Integrity Constraints, Data Types, Data Transformation such as Normalization, Discretization, Sampling Compression, etc. |
Machine Learning | Supervised Learning: Regression and Classification, Multiple Linear Regression, Support Vector Machine, cross-validation etc. Unsupervised Learning: Clustering Algorithms, K-Means/K-Medoid, Hierarchical Clustering, Multiple Linkage, Principal Component Analysis. |
Artificial Intelligence | Search: Informed, Uninformed, Logic, Proportional, Predicate; Reasoning under Uncertainty topics, Conditional Independence Representation, Approximate Inference through Sampling, etc. |
The following list gives brief information about the different subjects that are included in this course. These subjects will vary from college to college.
Subject | Details |
Data Analysis Data Visualization Applications of Data Science Data Collection and Management | Explore the fundamentals of Data Science. To learn different knowledge representation techniques.
|
Advanced Artificial Intelligence | To understand the applications of AI. |
Data Mining and Warehousing | To learn embedded system architecture. |
Advanced Machine Learning | We are focusing on recent advances in deep learning with neural networks such as recurrent and Bayesian neural networks. |
Data Science with Python | Analyze data as well as perform data manipulation using data structures and tools provided. |
Research Methodology | Present research methodology and the technique of defining a research problem. |
The MTech in Data Science syllabus includes subjects such as Deep Learning, Machine Learning, Mathematical Foundations of Data Sampling, and much more. Keep in mind that these subjects will differ between universities and colleges.
Mentioned below are some of the common topics covered in MTech in Data Science:
MTech in Data Science Syllabus: 1st Year | |
Semester – 1 | Semester - 2 |
Introduction to Data Science | Big Data Analytics |
Mathematical Foundations for Data Science | Machine Learning |
Analysis and Design of Algorithms | Data Science with Python |
Data Warehousing and Data Mining | Advance Web Analytics |
Statistics for Data Science | Advanced-Data Visualization |
MTech in Data Science Syllabus: 1st Year | |
Semester – 1 | Semester - 2 |
Big Data Systems | Dissertation - 2 |
Electives | - |
Dissertation - 1 | - |
Mentioned below is a list of Electives that some universities and colleges offer:
Candidates interested in this course can always gain extra knowledge by reading a few books related to the course for better understanding. Below is a list of a few books by authors in the field of Data Science:
Name of the Book | Name of the Author |
Introducing Data Science | Davy Cielen, Arno D.B Meysman and Mohamed Ali |
An Introduction to Statistical Learning: With Application in R | Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani |
Artificial Intelligence - A Modern Approach | Russel and Norvig |
Artificial Intelligence – A Practical Approach | Patterson |
Research Designs and Methods – A Process Approach | K.S. Bordens and B.B. Abbott |
Research Methodology – Methods and Techniques | C.R. Kothari |
Data Mining Techniques | Arun K. Pujari |
Data Warehousing: Fundamentals for IT Professionals | Paulraj Ponniah |
Applied Statistics and Probability for Engineers | Douglas C. Montgomery and George C. Runger |
Machine Learning: A Probabilistic Perspective | Kevin P. Murphy |
Deep Learning | Ian Goodfellow, Yoshua Bengio, and Aaron Courville |
MTech in Data Science and Computer Science are both highly popular careers in the tech industry. The demand for these careers is so great that almost everyone knows someone in these fields. But this raises the question of what makes these courses so special and what sets them apart.
Features | MTech in Data Science | MTech in Computer Science |
Course Name | Master of Technology in Data Science | Master of Technology in Computer Science |
Overview | Data Science focuses on using data to derive insights. Data Scientists work with large amounts of data and are primarily focused on solving business problems using the given data by predicting consumer behavior, optimizing supply chains, and improving product recommendations. | Computer Science focuses on the design development, and analysis of algorithms, software, and computer systems. Computer Scientists work with smaller amounts of data and primarily work in software development, artificial intelligence, computer networking, and cybersecurity. |
Course Level | Postgraduate | Postgraduate |
Admission Process | Entrance and Merit Based | Entrance and Merit Based |
Duration | 2 Years | 2 Years |
Average Course Fees | INR 50,000 – 4 LPA | INR 1 – 5 LPA |
Eligibility Criteria | Bachelor's degree in a relevant discipline from a recognized university/college with an aggregate of at least 60% marks. | Bachelor's degree in a relevant discipline from a recognized university/college with an aggregate of at least 50% marks. |
Top Colleges | IIT Hyderabad, IIT Guwahati, Indian Institute of Science, IIT Delhi and BITS Pilani | IIT Madras, IIT Delhi, BITS Pilani, NIT Trichy and Vellore Institute of Technology (VIT) |
Average Salary | INR 7 – 20 LPA | INR 3 – 10 LPA |
Employment Areas | Graduates can work in the fields of E-Commerce, Finance, Business, Healthcare, Manufacturing and many more. | Candidates can pursue a career in product-based IT companies, service-based IT companies, Investment Banking firms, the IT industry, and much more. |
Job Profiles | Data Scientist, Data Analyst, Data Engineer, Machine Learning Scientist, Big Data Engineer etc. | Software Engineer, Software Developer, Programmer, Game Developer etc. |
Features | |||
NIRF Ranking 2023 | 14 | 2 | 3 |
Overview | IIT Hyderabad is a premier institute of science and technology established in 2008. It has been consistently ranked in the top 10 colleges for engineering in India by NIRF. | The Indian Institute of Science (IISc) was established in 1909. It has become India's leading institute in advanced scientific and technological research and education. | IIT Delhi was established as a College of Engineering, in 1961. The institute was later declared as an Institute of National Importance and was renamed IIT Delhi. |
Location | Hyderabad, Telangana | Bengaluru, Karnataka | New Delhi, Delhi |
Admission Process | Entrance Based | Entrance Based | Entrance Based |
Eligibility | Bachelor's degree in a relevant discipline from a recognized university with an aggregate of at least 70% marks. | Bachelor's degree in a relevant discipline from a recognized university along with a valid GATE score. | Bachelor's degree in a relevant discipline from a recognized university with an aggregate of at least 60% marks along with a valid GATE score. |
Average Fees | INR 1,07,000 | INR 30,000 | INR 1,10,000 |
Average Placement Package | INR 20.46 LPA | INR 28 LPA | INR 17.60 LPA |
There are a wide range of jobs that a graduate of MTech in Data Science can opt for. Here are some of the career options after graduation:
Job Profile | Job Description |
Data Analyst | A Data Analyst gathers, cleans, and reviews the data to identify key insights and help solve problems. |
Big Data Engineer | They are responsible for developing, maintaining, testing, analyzing, and evaluating a company's large set of data. |
Business Analyst | Business Analysts are responsible for identifying business areas that can be improved to strengthen business processes and improve efficiency. |
Data Scientist | A Data Scientist uses data to understand and explain the phenomena around them and help organizations make better decisions. |
Machine Learning Engineer | They are an essential part of the data science team. Their responsibilities include investigating, creating, and developing the AI that oversees machine learning and maintaining and improving the existing AI systems. |
MTech in Data Science graduates are in demand as a lot of companies need such professionals. The average salary for graduates in this course ranges between ₹7 - ₹20 LPA in India. However, the pay scale varies on factors like the size of the company, location, etc.
Given below is a list of average salaries for different roles in the field of Data Science:
Job Profile | Average Salary |
Data Analyst | INR 4 – 9 LPA |
Big Data Engineer | INR 5 – 14 LPA |
Business Analyst | INR 6 – 12 LPA |
Data Scientist | INR 7 - 19 LPA |
Machine Learning Engineer | INR 7 – 14 LPA |
Employment Fields | Top Recruiters |
Healthcare Agency | IBM, Cerner, Health Catalyst, HealthEC, Amitech, Acmeware, Conifer Health Solutions, Epic, Optum |
Travel Agency | Airbnb, Alstom, Cubic Corporation, Ola, Uber, Tech Mahindra |
Manufacturing Agency | Adani Group, Amazon, Boeing, Colgate–Palmolive, Cyient, Gartner, Honeywell |
Finance Agency | Adobe, Axis Bank, Biz2Credit Inc, JP Morgan Chase Bank, Mastercard, SAP, S&P Global |
E-Commerce | Flipkart, Lenskart, Amazon, Myntra, Udaan, Capillary Technology |
Banking Sector | Axis Bank, Citi, Genpact, Mindtree, Zeta Suite |
After completing MTech in Data Science, graduates have a plethora of jobs as demand for graduates in Data Science is in abundance. Some of the jobs include Data Scientists, Data Engineers, Machine Learning Engineers, Data Analysts, Data Architecture, Business Analytics, etc.
Some other scopes for graduates include:
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MTech in Data Science: Course, Eligibility, Colleges, Syllabus, Scope, Jobs, Salary
By - Saihaj Singh Sidhu 2023-11-24 11:00:55 , 13 min read
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