M. Tech in Data Science Engineering

Overview

  • Location - GHRU Amravati
  • Duration - 2 year
  • Program Type - Full time
  • Approved by - UGC

Data Science is a unique field that involves working with Data and organising it through Mathematics, Computer Science, and many other resources. Among the fastest-growing sectors in India and abroad, Data Science has made its way to a large chunk of manufacturing and corporate industries. Artificial Intelligence and Automation are taking over the core industries. Data plays a vital role in harbouring these technologies into the system.

An MTech in Data Science Engineering can help you take the next step in your career. The field is highly saturated with opportunities and is not hard to strive in. At G H Raisoni University, Amravati help students achieve the level of expertise that can take them there. With state of the art facilities like laboratories, classrooms, etc. and the best faculty in the state for the program, GHRU stands out. Data Science is an ever-evolving field, and to accommodate that, GHRU updates its syllabus regularly. The flexibility and the atmosphere in the campus regarding excelling in Data Science are excellent and can surely take you to the pinnacle of the industry.

Course Structure

Eligibility

To be eligible for admission to the MTech in Data Science Engineering, the candidate must appear in the GHRU entrance examination. The entries are solely based on the GHRU entrance examination.

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Admission Procedure

  • Before starting every admission cycle, the University issues a notification on the University website, notice board and other public domains like newspapers, etc.
  • After the last date of application is over, a list of shortlisted students is put up on the University website, notice board, or the students are informed directly about their admission.
  • You are eligible to apply even if you're awaiting the results of your qualifying examination(s). Such candidates are offered provisional admissions and have to submit their previous years' mark sheet to confirm that they fall into the eligibility criteria. You must submit your mark sheet before the due date of applying for admissions. Once the provisional admission is approved, the candidate will have one month to provide the mark sheet for the qualifying examination. Subsequently, failing to do so will result in the cancellation of provisional admission.
  • If a candidate is granted provisional admission under the above-mentioned conditions and the said candidate fails to meet the eligibility criteria or has failed to obtain the required marks. In that case, the provisional admission is cancelled.
  • An application form is rejected for the following reasons:
    1. The candidate fails to fulfil the eligibility criteria provided by the University.
    2. The admission is cancelled if the candidate fails to enclose the prescribed fee.
    3. Provisional admission is cancelled if the application form does not contain the signature of the candidate and their parents/guardian, wherever applicable.
    4. The candidate fails to submit the supporting documents in time for admission
  • After submitting all the necessary documents and fees, the student will be assigned an enrollment number by the University.
  • Rules set by the University for the process of admission will be applicable from time to time.

Careers

Being one of the fastest-growing fields, Data Science is a solid career option, and an MTech in Data Science Engineering can be enough to set you up for a white-collar job in the industry. Also, if you wish to study further, you can go for a PhD or research in the future.

Further Studies

MTech DS Engineering Graduates can explore the following options for further studies:

  • PhD in Data Science
Job Opportunities

Data Science Graduates have a good amount of job opportunities to choose from. And new roles are coming up frequently since the industry has something unique to offer now and then. We’ve listed a few positions for you below:

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager
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