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VIT M. Tech Data Science Syllabus, Placement (and more)

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VIT M. Tech Data Analytics Syllabus, Eligibility and More

VIT M. Tech Data Science Syllabus Details
Course offered M. Tech Computer Science with Specialization in Data Science
Stream Data Science & Analytics
Duration 2-5 years
Fee of course (INR) Depend upon the course
Accreditation NAAC
Entrance exam VITEEE
Work ex required Yes
Eligibility Full-time degree with a minimum 60% aggregate score from a UGC-recognised institution
Admission Help Click here

Quick Links for Reference

Introduction

Knowledge of big data analytics enables managers to make data-driven decisions, thus improving their employability and managerial competence. Vellore Institute of Technology is a private institution that offers the program using flexible terms for working professionals.

It was established in 1984 and it is accredited by ABET, NAAC, ACBSP.

VIT Data Science Programmes 

1. M. Tech. Computer Science & Engineering with Specialization in Big Data Analytics

Course Objectives 

This program is designed with a flexible pedagogy that enables the students to access learning materials online. Students will learn the use of Machine Learning Language, Artificial Intelligence, and other techniques to manage big data. Additionally, they will get hands-on experience in database systems management, data mining, and cloud computing.

Course Duration: Two-year postgraduate programme

Type of Course/ Medium: Full time

Specializations 

This program comprises University Core (UC), Programme Core (PC), Programme Elective (PE) and University Elective (UE) courses. The core courses have 45 credits while the electives contribute 15 credits. The core courses include Database Systems, Machine Learning, BigData Frameworks, Exploratory Data Analysis, and Algorithms. Some of the specialization options available include:

  • Operating Systems and Virtualization
  • Information Visualization
  • NoSQL Databases
  • Mining Massive Data
  • Programming for Data Science
  • Cloud Computing Fundamentals
  • Web and Social Media Analytics
  • Soft Computing
  • Streaming Data Analytics
  • Deep Learning
  • Big Data Technologies
  • Domain-Specific Predictive Analytics
  • Analytics of Things
  • Image and Video Analytics
  • Blockchain Technology
  • Network Science and Applications

All students will also be required to undertake a project course to enable them to apply the knowledge and skills acquired in solving real-life problems. The project will be supervised by designated tutors and will culminate in a viva-voce session presentation.

2. M. Tech – Computer Science and Engineering with Specialisation in Artificial Intelligence and Machine Learning (In collaboration with C-DAC, Pune)

Course Objectives 

This program is designed to enable students to formulate and develop mathematical models to solve problems. It intends to impart programming skills, integrates machine learning, and help students to use artificial intelligence in their professions. Additionally, the programme equips students to get the necessary research skills in contemporary issues affecting decision-making.

Course Duration: 2 years

Type of Course/ Medium: Full Time

Specializations 

This programme has a total of 70 credits (49 for core courses and 21 for electives). The core courses include Data Structures & Algorithms, Operating Systems and Virtualization, Mathematics for Machine Learning, Big-data Analytics, Database Systems and Design, and Artificial Intelligence.

During the second year of study, all students are required to specialize in their areas of interest. The available specialization options for the programme include:

  • Advances in Cryptography and Network Security
  • Cloud Computing
  • Computer Networks
  • Data Warehousing and Mining
  • Web Technologies
  • Machine Learning with Large Data sets
  • Digital Imaging Techniques and Analysis
  • Stochastic Models and Applications
  • Knowledge Engineering and Expert Systems
  • Deep Learning and its Applications
  • Soft Computing Techniques
  • Distributed Systems
  • Statistical Natural Language Processing
  • Intelligent Information Retrieval
  • Machine Learning for Signal Processing
  •  Cognitive Science
  • Pattern Recognition
  • Bio-Inspired Computing
  • Reinforcement Learning

3. M. Tech – Computer Science and Engineering with Specialisation in Business Analytics (5-year integrated programme)

Course Objectives 

This programme is designed for business professionals who need skills in data analysis and management. It integrates computer science programming skills into business modules, thus enabling managers to make data-driven business decisions. It has a total of 220 credit hours spread through the core and elective courses.

Course Duration: 5 years

Type of Course/ Medium: Hybrid

Specializations 

This programme has core courses and electives that contribute to a total of 220 credits. During the first year of study, students undertake university and programme core courses that include foundations of electrical and electronics engineering, digital logic & computer organization, operating systems, data analytics, and computation.

Students are later allowed to specialize in any of the following areas:

  • Blockchain Technology
  • Bioinformatics
  • Parallel Programming
  • Cloud Application Development
  • Natural Language Processing
  • Artificial Intelligence
  • Internet of Things
  • NoSQL Databases
  • Healthcare Analytics
  • Predictive Analytics with Case Studies

Students can also specialize in any of these other programmes as detailed in the institution’s curriculum.

Admission Process

All interested candidates are required to apply for the program online by filling the application forms available on the institution’s official website. After filling the forms, candidates must pay an application fee and submit duly completed forms before the deadline. Candidates are then shortlisted based on performance in VIT Engineering Entrance Exams (VITEEE), academic qualifications, and work experience.

Shortlisted candidates are invited for an interview to assess the authenticity of documents and their capabilities. Successful candidates are intimated through the email addresses provided during the application stage. All candidates must confirm their acceptance of the offer before the stipulated deadlines.

Pedagogy

VIT has an elaborate online system where students can get study materials, recorded lectures, and live interactive sessions. Additionally, students are required to attend on-campus sessions to have face-to-face interactions with tutors, professionals, and colleagues.

Lecturers use different evaluation techniques such as continuous assessment tests, end-of-term examinations, group discussions, case study analyses, and projects. Students must pick a project thesis from an area of interest to apply their skills to find solutions to a real problem.

Eligibility

All prospective candidates must possess a full-time degree with a minimum 60% aggregate score from a UGC-recognised institution. Candidates appearing for their final semester exam/ final degree examination are eligible to apply.

However, all candidates must have completed their final year/semester examinations before selection counseling. Additionally, all candidates must provide a statement of final year marks/ provisional degree certificate to be considered for admission.

Programme Fee Structure

VIT M.Sc Data Sciecne Fee Structure Category 1 Category 2
M. Tech. Computer Science & Engineering with Specialization in Big Data Analytics INR 193000 INR 302000
M. Tech – Computer Science and Engineering with Specialisation in Artificial Intelligence and Machine Learning (In collaboration with C-DAC, Pune) INR 193000 INR 302000
M. Tech – Computer Science and Engineering with Specialisation in Business Analytics (5-year integrated programme)
Year 1-3 96,000 159,000
4th Year 99,000 162,000
5th Year 102,000 165,200
Total 297,200 446,200

VIT classifies its students based on the VITEEE entrance exam. Candidates who get higher marks are ranked category 1 and pay the least fee. Here are the category ranks based on performance:

  • Category1-rank (1–20,000)
  • Category 2-rank(20,001–40,000)
  • Category 3-rank(40,001–65,000)
  • Category 4-rank(65,001–99,999)

Categorization can change at VIT’s discretion. The fee is payable through installments.

Loan & Scholarships

The institution does not offer scholarships for M.Tech programmes. However, students can apply for flexible study loans from banks such as Bank of India and HDFC Bank.

Job Prospects

Tech graduates work in different sectors with a majority getting placements in IT-related industries. Some of the companies that participate in the placement process include Intel, Microsoft, Deloitte, Zomato, HP, Oracle, Google, Amazon, Cognizant, Accenture, Ericsson India, Wipro, and Ashok Leyland. The median salary for the entrant graduates is 5.9 Lakh.

Accreditation and Ranking for Vellore Institute of Technology

The institution is accredited by the Computing Accreditation Commission (CAC) and Engineering Accreditation Commission of ABET. It is also accredited by the National Assessment and Accreditation Council and the Accreditation Council for Business Schools and Programs (ACBSP). Additionally, VIT was ranked 15th best engineering institute in India by NIRF, 2020.

Frequently Asked Questions

Q1: What is the entry salary for CSE with specialization in data science graduate from VIT? Is the programme worth it?

Ans: Yes, CSE in data science is one of the most marketable courses in India. There is an increasing demand for qualified data scientists to handle data security and big data management in institutions. An entry-level graduate earns an average of 6 lakhs, with a guarantee of an increase in a few years of professional work.

Q2: Is CSE in data science from VIT recognized?

Ans: Yes, the programme is accredited by the National Assessment and Accreditation Council (NAAC). It offers an elaborate curriculum that helps integrate data management & analytic systems into the engineering programme. As such, CSE data science graduates are knowledgeable in engineering and computing systems.

Q3: Does VIT help students with placements?

Ans: Yes, the VIT placement centre links students with established organizations and start-ups for job vacancies. The institution also helps students to prepare for interviews through placement cells and professional trainers. However, the institution is not obliged to offer job opportunities to students.

If you have any questions, please ask us here – we answer every single query of students. 

Contact Details

Other Courses Offered at Vellore Institute of Technology

1. M.Sc. Data Science

  • Duration: 2 years
  • Programme Fees: INR 1, 50, 00 annually

2. M.Sc. (Integrated) Computational Statistics and Data Analytics

  • Accreditation: NAAC
  • Duration: 5 years
  • Programme Fees: INR 3.77 Lakh

3. M.Tech. Computer Science and Engineering with Specialization in Cyber-Physical Systems

  • Offered at: VIT Chennai
  • Duration: 2 years

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