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UPES B.Tech Admissions 2025
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  • Medicine and Allied Sciences
Showing 99 courses

MS Obstetrics and Gynaecology

Duration: 3 Years
Total Fees: 1.35 Cr
Seats: 9
Accepted Exams: NEET PG

MPT Neurology

Duration: 2 Years
Total Fees: 3.00 L
Seats: 9

MD Community Medicine

Duration: 3 Years
Total Fees: 21.10 L
Seats: 9
Accepted Exams: NEET PG

MPT Orthopaedics

Duration: 2 Years
Total Fees: 3.00 L
Seats: 9

MOT Paediatrics

Duration: 2 Years
Total Fees: 2.50 L
Seats: 8

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MS Otorhinolaryngology

Duration: 3 Years
Total Fees: 90.10 L
Seats: 8
Accepted Exams: NEET PG

MD Radiodiagnosis

Duration: 3 Years
Total Fees: 1.35 Cr
Seats: 7
Accepted Exams: NEET PG

Explore SRM University Chennai Courses

Student Reviews for SRM University Chennai

College Infrastructure: 4.3/5
Academics: 3.8/5
Placements: 4/5
Value for Money: 2.6/5
Campus Life: 4.2/5

good cllg come and do hardwork

Verified Review

College Infrastructure

our college has all facility and good infrastructure and all room are air conditioned and latest equipment available in lab there are all sports available in our college in every month sports competition organize or participate in library all books are available where you can easily acces cse student can isssue book upto 5 but if you not give book back or reissue within 15 days than you have to pay fine 1 per day and free wifi available and module availabe

Giving a review to my college is quite good experience a

Verified Review

College Infrastructure

SRM University has necessary infrastructure, facilities and equipment. The classrooms are spacious enough for students to study. The library is quite effective for us students to study. Hostels have moderate Wi-Fi. The living spaces are clean.

Central Library with Centralised Air-conditioning

Verified Review

College Infrastructure

Our college has good infrastructure but most of it is somewhat broken because of lots of fight and politics in du the fights, otherwise classes are good and clean canteen food is also good.We have centralised Airconditioner in the classrooms and laboratories.

Have a question related to SRM University Chennai ?

How much safe marks is required in SRMJEEE 2025 for getting ECE branch in SRM KTR campus? Also please tell me for atleast 25 percent fees reduction, how much marks shall i aim in my mocks? I even belong to gen ews category. Currently i am scoring around 60/125.

To secure the ECE branch at SRM KTR campus with the General EWS category, you should aim for a score around 150-160 marks in SRMJEEE 2025. This would likely put you in a safe zone for admission and could potentially qualify you for a 25% fee reduction.

Regularly taking mock tests will help you gauge your current standing, identify areas for improvement, and get familiar with the exam pattern.try to make more marks more than 160 to secure your seat in SRM ktr.

1.KIIT M.TECH CSE IN DATA ANALYST REVIEW 2.Top M.Tech Data analyst coll(NO GATE) 3.Best private M.tech Data analyst coll 4.VIT VS KIIT VS SRM vs Manipal vs BIts hyd 5.VIT M.tech Bigdata analyst vs AIML 6.Best online

Hello there,

Here is the information regarding your question:

1. KIIT M.Tech CSE in Data Analytics Review

  • Strengths : KIIT offers a well-structured program with a strong focus on practical applications, collaborations with industries, and good placement records. Companies like TCS, Cognizant, and Infosys recruit from KIIT.

  • Weaknesses : Limited exposure to niche analytics tools compared to top-tier institutions.

  • Overall Verdict : A good option if you’re looking for a balance of quality education and decent placements without GATE.

    2. Top M.Tech Data Analytics Colleges Without GATE

  • BITS Pilani (Work Integrated Learning Programs) : Renowned for its flexible, industry-oriented programs.

  • VIT Vellore : Offers M.Tech programs with specializations in Big Data Analytics. Admission is based on its own test (VITMEE).

  • SRM University : Offers programs in Data Analytics with industry tie-ups.

  • Manipal Academy of Higher Education : Focuses on practical learning and internships.

    3. Best Private M.Tech Data Analytics Colleges

  • BITS Pilani
  • VIT Vellore
  • Amity University
  • UPES Dehradun

    4. VIT vs. KIIT vs. SRM vs. Manipal vs. BITS Hyderabad

  • Academics : BITS > VIT > Manipal > SRM > KIIT
  • Placements : BITS > VIT > Manipal > SRM > KIIT
  • Industry Exposure : BITS > VIT > Manipal > SRM > KIIT
  • Verdict : If feasible, choose BITS Hyderabad or VIT.

    5. VIT M.Tech Big Data Analytics vs. AIML

  • Big Data Analytics : Best for those interested in data engineering, data visualization, and business analytics roles.

  • AIML : Ideal for students targeting AI/ML engineering, research roles, or AI startups.

  • Recommendation : Choose based on your career goals. AIML has a slightly higher demand in tech industries.

    6. Best Online Options for M.Tech in Data Analytics

  • BITS Pilani WILP : M.Tech in Data Science & Engineering.
  • IIT Madras (Online Degree) : BS in Data Science, upgradeable to M.Tech.
  • Great Lakes Institute : PG Programs in Data Analytics & AIML.
  • Simplilearn & Coursera : Partnered with top universities for certifications.

For detailed reviews, visit the respective college websites or forums.


I hope this answer helps you. If you have more queries then feel free to share your questions with us we will be happy to assist you.

Thank you and wishing you all the best for your bright future.


1. Top M.Tech college for data science without GATE with best placement? 2. Top M.Tech college for data analyst without GATE with best placement 3. Is Big data analyst and data analyst course are different? 4. Review of KIIT CSE in Data Analyst and how is the placement? 5. VIT vs KIIT VS SRM

1. Best GATE-free M.Tech college for data science with the best placement?


Here are a few of the top M.Tech colleges for data science which have good placements, and are also GATE free:


Indian Institutes of Technology: A number of IITs offer M.Tech data science or related fields in their colleges. The admission process is based on the entrance exam. For example: IIT Delhi - M.Tech/MS in MINDS, IIT Bombay - M.Tech in CSE (Data Science Specialization)

National Institutes of Technology (NITs): Some NITs provide M.Tech degree in the field of data science or related disciplines through separate entry tests. Example: NIT Trichy - M.Tech in Data Science Birla Institute of Technology and Science (BITS Pilani): Provides M.Tech degree in the field of data science through BITSAT - BITSAT Entry Test.

International Institute of Information Technology (IIITs): Some IIITs provide M.Tech programs in data science.  Some of them conduct their entrance exams. For instance, IIIT Hyderabad offers M.Tech in Data Science.    Private Universities: Many other well-known private universities are offering M.Tech programs in Data Science through their entrance exams. For example, Vellore Institute of Technology (VIT), Manipal Academy of Higher Education (MAHE)

Research should be done on each program regarding the curriculum offered, the faculty expertise, and the placement record before applying. You can find all information on their official website.


2. Best M.Tech college without GATE with the best placement for a data analyst?


Data Science courses usually cover concepts and skills involved in data analysis. Still, some colleges may have more specialized M.Tech programs in Data Analytics.


Use the list in question 1 as a reference. Many colleges which offer M.Tech Data Science also serve aspiring Data Analysts.


3. Is Big data analyst and data analyst course are different?


Yes, There are some key differences between Data Analyst and Big Data Analyst roles:


Data Size: Data Analysts typically work with smaller datasets, while Big Data Analysts manage massive datasets requiring specialized tools and techniques.

Skills: The areas of data cleaning, analysis, visualization, and communication are the core focus areas for Data Analysts. Big Data Analysts will also need knowledge of Hadoop, Spark, and distributed processing frameworks.

Career Paths: Data Analysts may progress to Business Intelligence or Data Science roles. Big Data Analysts may specialize in areas like cloud computing or data engineering.

However, the line may blur in practice. Some M.Tech programs might offer a data science curriculum with modules focused on big data processing.


4. Review of KIIT CSE in Data Analyst and how is the placement?


KIIT CSE offers an M. Tech curriculum in Computer Science and Engineering (CSE) with specializations in Data Science. Though data analyst is not mentioned explicitly, you can expect data analysis skills to be a part of the curriculum.


You can research KIIT CSE for Data Analyst Placement as follows:


KIIT Website: Check the KIIT website for details regarding the Data Science specialization within their M.Tech program in CSE. Placement reports might be available.

Reviews and Forums: Search online for reviews and discussions from alumni or current students about KIIT CSE and data science placements.

Contact KIIT: Consider directly contacting the KIIT admissions office or department to inquire about the program's focus within data science and potential career paths for graduates.

5. VIT vs KIIT VS SRM


These three universities are quite famous for engineering and technology education. Let's just compare briefly to help decide:


Criterion    VIT     KIIT     SRM

Reputation    National & International Recognition    Strong Reputation in India    Improving Reputation

Programs Offered    M.Tech in Data Science (through VITMEE)     M.Tech in CSE (Data Science Specialization)     M.Tech in Data Science

Placements    Historically Strong Placements    Good Placements    Improving Placements

Fees    High Fee Structure     Moderate Fee Structure     Moderate Fee Structure


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Important Note: This is a general comparison. Specific program details, faculty expertise, infrastructure, and placement records may be significantly different within each university.


Do the following:


Visit the websites for each university: Look up the specific data science programs taught, curriculum details, faculty profiles, and any placement reports that are available.

Consider factors important to you: Consider fees, location, infrastructure, duration of the program, and specific topics in data science that may interest you.

Look for online reviews and resources:

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