MTech Data Science Overview
The MTech in Data Science or Masters of Technology in Data Science course is a 2 year postgraduate program specializing in the field of data driven analysis and data science. The course aims to provide a deep and strong understanding of theoretical and practical concepts within the field of data-oriented sciences.
The MTech Data Science duration is 2 years which consists of 4 semesters. Across these 4 semesters students will have the opportunity to take up courses such as Data Structure, Algorithm Design, Data Visualization and Data Mining amongst other subjects that put a student’s mathematical, technical and analytical abilities to the test.
Students graduating from the MTech Data Science program can expect to work in professions such as Data Scientists, Data Analysts and Machine Learning Engineers earning fresher salaries up to INR 20 lakhs per annum.
Further Reading: MTech in Artificial Intelligence
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MTech Data Science Course Highlights
The table below showcases the need-to-know details about the MTech Data Science course including the course full-name, eligibility criteria, entrance eams, top colleges and jobs.The table is as follows:
MTech Data Science Eligibility Criteria
Students may be eligible for the MTech Data Science postgraduate course if they meet the following eligibility criteria:
- Students must have a background in an engineering oriented course during their undergraduate degrees such as their BTech or BE from a recognised institution or university.
- Students must have attained a minimum 60% score to be considered for the MTech Data Science program.
- Strong backgrounds well-versed in the subjects of computer-science, mathematics and data/statistical analysis are recommended to boost a student’s overall eligibility.
MTech Data Science Admission Process
The admission process for the MTech Data Science course can vary from university to university. However, generally the process for admission into the program can be:
- Students must meet the required eligibility criteria as designated by their university of choice. They must also have a background in engineering with either BE or BTech courses and scored a minimum of 60%.
- In the cases of certain universities, students must meet the required cutoff or rank criteria for certain entrance exams as described by a student’s university of choice.
- Students may apply for the MTech Data Science course through either an offline or online mode.
- Merit: Students are assessed on the basis of their academic performances throughout their undergrad and school-life as well as (if applicable) their work experience and qualifications.
- Entrance-Exams: Students who clear through the round of required entrance exams, may be called to sit for interviews and other forms of assessment before being selected.
MTech Data Science Entrance Exams
As stated, for certain colleges, giving entrance exams are a part of the admission process for the MTech Data Science program. The table below lists out some entrance exams students can prepare for to gain admission the program:
Further Reading: MTech Entrance Exams
MTech Data Science Subjects and Syllabus
As part of the MTech Data Science course, students will have opportunities to study a wide-variety of specialised courses that aim to test their overall capabilities and abilities in the fields of data science and data analytics.
The MTech program includes core courses to build upon knowledge that students acquired throughout their undergraduate coursework as well as teach new concepts that strengthen a student’s fundamentals. The Data Science course also implements electives for students to pick and choose their subjects depending on their interests.
To add on to the two types of courses students will be studying, projects and dissertations are also a part of the MTech Data Science course.
Students will also have opportunities for internships and lab work to have practical applications of what they learn in a classroom.
The following tables are year-wise overviews of the subjects students can expect to be a part of the MTech Data Science program:
MTech Data Science 1st Year Syllabus -
MTech Data Science 2nd Year Syllabus -
MTech in Data Science: Recommended Books
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 Data Science vs MTech Computer Science: Course Comparison
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. |
What to do after an MTech in Data Science course?
After the completion of the MTech Data Science course, students looking to further continue their education can pursue the following:
- PhD: Students looking to further pursue their studies, can aim to do a PhD program in the field of data science which is the highest degree a student can earn. Having a doctorate allows more job opportunities with better salary options to open up for students as well as allows graduates to gain more technical skills.
- MBA: MBA programs are for those graduates looking to make a shift after their MTech to more commercial or business oriented fields. MBAs offer specializations in the field of data science or its related fields which help MTech graduates to have an edge when pursuing the degree.
MTech Data Science Scope
The MTech Data Science course offers a lot of scope for graduates. Due to the growing technical demand for the field of demand science, numerous jobs are available in sectors such as banking, finance, hospitals and businesses. Data science is a field that can be applied to all of these sectors and helps any organization make more informed decisions as well as identifying and rectifying problems within established systems.
MTech Data Science Job Opportunities and Salaries
There are numerous jobs students can undertake after completing an MTech Data Science course. Numerous doors open up for students in both the public and private sectors and earn up to INR 20 lakhs per annum.
The following table shows some jobs students can strive for along with the average salary they can earn per annum:
MTech Data Science Job Roles
The following table illustrates the required job details about careers after the MTech Data Science program:
MTech Data Science Top Colleges
Varying on a student’s preferences and performances, there are numerous colleges for the MTech Data Science program with the average fees for the course ranging between INR 50,000 - INR 2,00,000 per annum. The table below are some colleges students can aim to get into for the Data Science postgraduate course:
Further reading: MTech Colleges in India
MTech Data Science Top Recruiters
After the completion of the MTech in Data Science program, students may pursue careers in fields such as banking, e-commerce or healthcare. Regardless of the choice of field, listed below are some recruiters that students can aspire to work for after the completion of the MTech Data Science:
| MTech Data Science Top Recruiters | |
.png "Hindustan Aeronautics Limited (HAL)")
.png "Hewlett-Packard (HP)")
.png "Indian Oil Corporation Ltd (IOCL)")
