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 |
|
Programme Fee | Admission Form Fee: INR 500/- (One Time) Programme Fee: INR 2,50,000/- |
Admission Procedure |
|
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
Can I enrol for M.Tech (by Research) from SGVU even if I do not have a B.Tech degree?
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
What is the process to secure admission into 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.
What can I expect to receive as Placement Support service for this programme?
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.
When will the classes for the upcoming batch start?
The classes for the upcoming batch is expected to start on 23 August 2023.
Is there any loan or financial assistance option that I can avail of?
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.
What are the system requirements needed to do this course?
- 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.
What if I am unable to complete the programme in 2 years?
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.
What happens if I miss an examination?
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.
What happens if I miss a semester?
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.
How will the exams be conducted for this programme?
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.
What is the minimum passing mark in each subject?
50% in each course is the minimum marks required to pass that subject.
What is the minimum requirement for me to be awarded an M.Tech degree?
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.
How do I receive my final degree?
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.
What are the class timings for this programme?
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.
What is the Refund Policy for this programme?
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.
If I have any queries about the program, who can I contact?
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.
Apply Now
Apply Now for Admissions 2023
The Suresh Gyan Vihar University, Jaipur is a renowned University, established by an Act of State Legislature in the State of Rajasthan by the Suresh Gyan Vihar University, Jaipur Act, 2008 (Act No. 16 of 2008). The University is ranked by NIRF in the Rank-Band of 151-200 and School of Pharmacy received the ranking of 64 for the year 2022. It is due to the consistent effort of ensuring quality and ethics in our delivery that the institute is not only regarded as one of the top University of Rajasthan but one of the best in the country. Based in Jaipur, it is also one of the only few research-driven Universities in Rajasthan.