| Course Name: | M.Tech in Data Science |
| Course Institution: | IIT Hyderabad |
| Course Department: | Department of Computer Science |
| Course Duration: | 36 month(s) |
| Course Fee: | INR 900000 |
| Course Mode: | Online + Occasional Classroom Interaction |
| Course Location(country): | India |
| Course Location(city): | Hyderabad |
| Course Level: | Masters |
M.Tech in Data Science by IIT Hyderabad is a 36 month(s) Online + Occasional Classroom Interaction program under the Department of Computer Science.
Department of CSE, IIT Hyderabad introduced the MTech (Data Science)(MDS) program in 2018. Students have to do 24 credits of coursework in the first two years. In the third year, they have to do two Capstone projects of 12 credits each. Since it is a self-paced course, the students can take a lesser number of courses in different semesters & complete the course requirement in 2 to 4 years. Students can take the Capstone Projects only after completing the MDS course requirement. If someone is not interested in doing the 24 credits of Capstone projects, they can graduate with the Executive M.Tech. in Data Science degree. MDS is a full MTech Program equivalent to the other MTech programs.
Why pursue the M.Tech. in Data Science Program by IIT Hyderabad?
Many applications, such as healthcare, e-commerce, weather forecast, traffic monitoring, social media, etc., are producing massive amounts of data, with the five “Vs” of Big Data challenges: Volume, Velocity, Variety, Veracity, and Value at a large scale. This has led to a huge demand for skilled professionals, known as Data Scientists. Unfortunately, there is a gap between the demand and supply of data scientists. To solve this issue, the CSE Department at IIT Hyderabad proposes a three-year coursework-based M.Tech. program in the Data Science area that is flexible and can be self-paced. This program aims to cater to working individuals’ needs, wherein a candidate has to do eight 3-credit courses over 2-4 years. Ideally, one can take two courses per semester. The institute conducts the classes over the weekends (or other timings suitable for working professionals), with each class having a 3-hour duration.
Curriculum
Tentative List of Elective Courses
Fee
Students have to pay an application fee of INR 500 for applying to the program. If the student enrolls for one or more courses, they have to pay a registration fee of ₹15,000 per semester. The students have to complete 24-course credits( ₹25,000 per course credit) and 24-Capstone Project credits( ₹12,500 per capstone project credit.) The total fee for all the 48 credits for the M.Tech in Data Science by IIT Hyderabad is INR 9 Lakhs.
Duration
M.Tech in Data Science by IIT Hyderabad is a self-paced course that can be completed over three to five years.
Eligibility
The applicant must have a minimum of 2 years of work experience in the industry and be employed when applying for the program. The candidate must have a BTech/AMIE/BE degree in EE/IT/ECE/CS, or an MCA/MSc/MS degree in CS/IT, and an excellent academic record.
Selection Procedure
Candidates must fill an online application. Shortlisted candidates have to appear for a written test and/or interview. Candidates with prior research exposure and/or industry experience in data science areas will be considered. The institute will select the candidate based on their interview performance. The department has the right to set any cut-off criteria for shortlisting the candidates.
Course Mode
The M.Tech in Data Science by IIT Hyderabad will be held either on Saturdays from 9:00 am to 5:00 pm or Monday to Friday from 8:30 – 10:00 am.
Degree or Certificate of Completion
MDS students will get the degree M.Tech in Data Science from the CSE department at IITH.
Alumni Status
On successful completion of the MDS program, students of this course will be granted the same alumni status as any other residential students pursuing their degree in IIT Hyderabad.
When to Apply
Usually, the application opens in March/April. Please check the website for updates.
Admission Process
The candidate has to clear an admission test comprised of four phases: Profile Screening, Objective Test, Background in DS, and Interview.
Profile Screening
Profile screening is done according to past academic records, prior research exposure, and/or industry experience in data science areas.
Objective Test
The objective exam will consist of multiple-choice questions on the basics of Computer Science and Data Science. Relevant courses are Programming, Probability, Data Structures and Algorithms, Discrete Mathematics, Databases, and basic concepts in Statistics, Data Mining, Machine Learning.
Background in Data Science test
The IITH conducts a Background in Data Science test to check the writing skill and past background in Data Science of the candidate. The institute prefers to take candidates who are already familiar with Data Science.
Interview
The institute will conduct a 15-20 minutes interview through Phone/Skype for the candidates who qualify for the written test. The interviews will be done few days after the written test.
Documents required in original at the time of verification test:
- Application ID
- ID proof
- Degree/Diploma/Provisional Certificates from the competent authority of the University or Institute concerned.
- All Mark sheets of qualifying examinations.
- Documents that prove the candidate has at least two years of working experience.
How to Apply
Currently, the admission portals are closed, but you can apply here once the IITH opens admissions for the M.Tech in Data Science program. Find all admission-related details here.
Campus Placement
Students under the MTech in Data Science program by IIT Hyderabad are not eligible for campus placement since the program is for professionals already working in the industry.
You may have a look at our extensive coverage on other analytics courses. Disclaimer: This information is based on the research carried out by AI Monks. The information in this article should be used only for indicative purposes. AI Monks is not responsible for any information that may be different from the actual scenario.