M.Tech. Data Science

Registration closes on 05 Dec, 2024. Only few seats are left!!

Programme Highlights

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About M.Tech. Data Science

Without taking a professional break, prepare for a career in Data Science with India's most comprehensive and world-class M.Tech. Data Science programme. This specially curated curriculum is designed to help you develop a distinct career in analytical and leadership roles in a variety of industries. With a great blend of machine learning, big data analytics and statistics, the programme lets you gain experience in addressing problems with real-world data.

This programme is designed to provide opportunity to working professionals looking for research and gain a Master’s Degree for future academic and career pursuit. Additionally, since this M.Tech. is mainly research based, the course work is supportive to the proposed research work. This course allows the candidate to explore opportunities in both Government as well as private sectors.

The four-semester programme helps software and IT professionals gain the skillset required to enhance their careers as a Data Analyst, Data Engineer, Data Architect, and Data Scientist, amongst others.

Programme Outcomes

The programme is specifically designed to

  • Use your knowledge of big data analytics, mathematics, and artificial intelligence to solve business problems while adhering to the basics of computational intelligence.
  • Develop prediction models and instil the concepts of data analysis and data visualisation to increase business value.
  • Bring out a definite contribution to the advancement of knowledge in the candidate’s chosen field of study.
  • Strengthen students to work in a team and develop effective communication, critical thinking and technical skills.
  • Help students develop a professional approach that prepares them for immediate employment and for life-long learning in advanced areas of Data Science and related fields.
  • Support students seeking a career in higher education, research and academics.
  • Increase student success & placements in industries.
  • Facilitate growth in a nurturing environment and promoting intellectual stimulation.
  • Increase academic standards and rigor.
  • Achieve academic excellence and uniqueness through high quality research publications.
  • Continue your education and work as a data scientist or analyst.

Specific Domain Related Outcomes Include:

  • Ability to analyse data difficulties in the domains of Computer Science, Computational Mathematics, Statistics, and Management
  • Contribute to transdisciplinary research and development by employing innovative and creative ways.
  • Independently conduct research/investigation and development activities to tackle practical challenges
  • Create and present a big technical report/document.

Salient Features

Dissertation:

Dissertation / thesis of six months is incorporated in the course curriculum to provide hands on training and research experience to students. It will improve problem solving abilities, spatial data analysis and field experiments.

 

Professional Enhancement:

In addition to core courses, subjects like proficiency in co-curriculum activities, employability skills, seminars, industrial mentor and training, internships, and field visits etc.

 

Innovative Pedagogy:

Innovative pedagogical methods including demo kits in addition to animations, video lectures, presentations to communicate effective teaching and learning process, development plan for online learning materials.

Curriculum

Semester I – 18 Credits
Course Code Course Name Credit
Research Methodology 3
Computer Organization and Software Systems 4
Data Structures and Algorithm Design 4
Machine Learning 4
Project Lab – I 3
TOTAL CREDITS 18
Semester II – 18 Credits
Course Code Course Name Credit
Natural Language Processing 4
Ethics for Data Science 4
Deep Learning 4
Project Lab – II 6
TOTAL CREDITS 18
Semester III – 16 Credits
Course Code Course Name Credit
Data Structures and Algorithm Design Lab 2
Machine Learning Lab 2
Minor Dissertation 12
TOTAL CREDITS 16
Semester IV – 18 Credits
Course Code Course Name Credit
M. Tech Dissertation / Thesis 18
TOTAL CREDITS 18

Programme Details

Duration 2 Years (4 Semesters)
Eligibility
  • Bachelor of Engineering (B.E.) / Bachelor of Technology (B.Tech.) / MCA / M.Sc. in relevant stream from a recognized University / Council with at least 50% marks in aggregate (5% relaxation in case of SC/ST category)
  • At least two years of relevant work experience at his/her organization/institute/university/industry, preferably in the area of proposed research and must be able to devote time towards research to publish the research work in WoS/SCI/SCOPUS/UGC listed indexed journals.
Programme Fee Admission Form Fee: INR 500/- (One Time)
Programme Fee: INR 2,50,000/-
Admission Procedure
  • Receipt of Completed Online Application Form
  • Submission of Required Documentation by Candidates
  • Evaluation of Credentials and Documents Submitted
  • Intimation of Confirmation of Credentials & Application
  • Personal Interview
  • Fee remittance as per chosen payment option
  • Enrolment Basis Candidate Profile and Credentials
Course Commencement Aug 2023

Fee

Programme Fee
Application Fee
(One Time)
Annual Fee
(Payable every year)
Total Programme Fee
(Lumpsum for 2 years)
INR 500 INR 1,25,000 INR 2,50,000
Fee Includes
  • Academic Tuition Fee.
  • Study materials as applicable.
Fee Does Not Include
  • Exam fees, which is payable at the time of the exam.
  • Any other travel related cost or other administrative charges like re-exam, re-admission fee etc.
Payment Options
Option 1 Option 2 Option 3 Option 4
Make a down payment of Rs.20500 and avail loan/financial assistance for the balance fee. Pay Semester 1 fee upfront and thereafter opt for ENACH option and pay the balance as interest free EMIs Pay the annual fee upfront on or before the specified last date. Pay the full programme fee on or before the specified last date.

Recruiters

Testimonials

FAQ

You will be eligible to enroll for M.Tech (by Research) from SGVU if you hold an M.Sc. / B.E. or B.Tech degree in the relevant stream with a minimum aggregate of 50% and above from a recognized university recognized university (UGC/AICTE/DEC/AIU/State Government). Please refer to the individual course details for eligibility specific to the stream of specialization. Additionally, since this programme requires research, you will also need to have at least 2 years of relevant work experience, preferably in the area of proposed research, to be able to apply for this programme

You will be required to fill an application form and upload all the relevant supporting documents. Your application form along with the supporting credentials will be reviewed by the admissions team and you will be intimated if you are eligible to enroll for the programme. You may also have to attend a Person Interview as a part of the selection process. Once intimated about selection into the programme, you will proceed to pay the programme fee after which you will be considered an active student of this programme. If you have any questions about the kind of supporting documents that needs to be uploaded, please speak with our Program Advisors at +91 9355301026, who will be able to guide you through the process.

Suresh Gyan Vihar University has a strong network and alliances with a large number of industries and corporate houses. At SGVU our endeavor is to equip our students with all the skills required for being employable in the industry in both Government and Non-Government sectors. SGVU has a robust training infrastructure housed with Industry experts who thrive to shape future leaders for the country across organizational domains. Many companies have already shown their interest in 2022 passing out batches because in SGVU, a team of highly experienced professionals and a well-organized Training & Placement Department works day and night, to ensure fruitful and record creating results for the students. As a student of the M.Tech (by Research) programme at SGVU, you will be eligible to participate in the placement related events organized by the University.

The classes for the upcoming batch is expected to start on 23 August 2023. 

Yes, we have associations with financial service providers. Should you require any assistance with financial loans, our Program Advisor will be happy to support you with the guidelines for the same. However, the decision to grant the loan will depend on the adequacy of documents submitted and will be at the sole discretion of the respective financing agency/bank. The loan itself will be based on a mutual agreement exclusively between you and the financing agency/bank and SGVU will have no role whatsoever in this financing arrangement between the two parties.

  • Laptop or desktop with basic specifications. However, in order to optimize your learning experience, we recommend that you have the following,
  • Internet speed of 1 Mbps minimum (preferable wired connection).
  • Supporting OS – Window 7, Window 8, Widows 10, Safari & Mac OS.
  • Recommended Browser – Google Chrome and Firefox
  • Recommended Device – Laptop or Desktop (Avoid using Mobile or Ipad)
  • Functional web cam, microphone and speaker enabled on your laptop/desktop
  • Latest Adobe flash player should be installed in your system.
  • Other technical requirements needed to complete the Lab work will be communicated towards the commencement of those courses. 

You are required to successfully complete the programme within 4 years from the FIRST REGISTRATION to be eligible for award of the degree, failing which, the admission to this programme becomes void.

If you miss an examination, you can take the same in the next available semester as backlog courses as per the University’s examinations schedule.

If you miss an entire semester, then you can re-start the degree with the missed semester along with the next batch, subject to prior approval from SGVU. This will be treated as Readmission and you will be required to pay an additional readmission fee.

End term exams of five courses and final presentation of dissertation will be held at the University campus. Assessment of remaining courses will be done on the basis of Continuous Internal Evaluation. Three slots in a semester will be offered for the end semester exam and student will choose either one or two or all three slots as per convenience. Student can also opt for the subject in which he/she will appear during the chosen slot.

50% in each course is the minimum marks required to pass that subject. 

A student is eligible to submit the thesis only after at least two successful publication or acceptance in a refereed Journal (one in UGC listed journal/SGVU journal and one in SCOPUS) and pass all the courses till 3rd semester with 6.5* CGPA (60% marks) at least. Although the minimum requirement for a pass in each course is 50%, if any student fails to fulfil the criteria and secures only passing marks as per the norms of the University and able to secure up to 3rd semester between 5.0 CGPA to 6.5 CGPA, he/she may be permitted to submit the thesis. After completion of the process of thesis evaluation & (final presentation + viva), he/she will be awarded with M.Sc. (Engineering) degree in relevant specialization. If the student clears all the evaluation with a CGPA of 6.5 or more, student will be awarded an M.Tech by Research degree upon completion of the programme.

Upon successful completion of the programme, you will need to coordinate with SGVU and collect the final degree directly from SGVU, either in person or via post. 

Evening classes in online/hybrid mode from 5:30 pm to 7:30 pm IST will be scheduled on working days for the course work. 

SGVU follows the UGC policy in respect of ‘Admission Withdrawal & Fee Refund’ The SGVU Notifications viz. No. SGVU/REG/2014-15/1012, dated 23 Jan 2015, No. F.3(1)ACAD/SGVU/2018/9858, dated 29th Dec 2018, and the UGC Notification of Dec. 2016. 

Any queries you have regarding the programme, or the admission process may be directed to our Program Advisors at +91 9355301026. Once your admission to the course is confirmed, a dedicated Student Relationship Manager (SRM) will be assigned to you, and you may raise all subsequent queries and clarifications with the assigned SRM.