Lovely Professional University: Admission to M.Tech. (Data Science and Analytics) Program, 2027

Eligibility Criteria for M.Tech. (Data Science and Analytics)

Pass with 55% aggregate marks in B.Tech. (any stream) or MCA or M.Sc. (Information Technology or Computer Science) or equivalent, subject to qualifying LPUNEST * or GATE.

Scholarship on the Basis of GATE

Scholarship on the Basis of GATE (For M.Tech. Programmes)

GATE percentile slab	Scholarship Percentage
LPU RISE (Recognizing India’s Scholarly Excellence) Top 1,000 AIR	100% Programme Fee + Examination fee + Residential fee (4-seater Non-AC) / Transport
GATE percentile equal to or more than 95	45% of Programme Fee
GATE percentile equal to or more than 90 but less than 95	35% of Programme Fee
GATE percentile equal to or more than 80 but less than 90	25% of Programme Fee
GATE percentile equal to or more than 70 but less than 80	15% of Programme Fee

(Percentile should be valid at the time of admission)

Scholarship/Eligibility on the Basis of GATE (For Ph.D. Programmes)

Eligibility and Scholarship Applicable for Ph.D. Full Time Programmes
Performance in GATE	Scholarship Percentage
GATE percentile equal to or more than 90	60% of Programme Fee
GATE percentile equal to or more than 85 but less than 90	50% of Programme Fee
GATE percentile equal to or more than 80 but less than 85	40% of Programme Fee

Eligibility and Scholarship Applicable for Ph.D. Part Time Programmes
Performance in GATE	Scholarship Percentage
GATE percentile equal to or more than 90	40% of Programme Fee
GATE percentile equal to or more than 85 but less than 90	30% of Programme Fee
GATE percentile equal to or more than 80 but less than 85	20% of Programme Fee

Note: Cut-off for Eligibility is GATE Qualified. (Percentile should be valid at the time of admission)

*LPUNEST will be exempted if candidate scores 80% or more marks in the qualifying exam.
5% relaxation in aggregate marks in the qualifying examination will be applicable for candidates from North-East states and Sikkim, Defence Personnel, their dependents, and wards of Kashmiri migrants.
*The LPUNEST exam offers convenient choices to candidates: Online remotely proctored from Home (recommended by the university, based on available resources) or Test centre-based options.

Admission Criteria for M.Tech. (Data Science and Analytics)

Admission is based on LPUNEST or GATE merit, subject to the fulfilment of the eligibility criteria.

Important Dates

	Current Schedule
Online registration starts on	29th September, 2026
Slot booking for online examination	10th December, 2026 onwards*
Last date to apply and book an examination slot	15th January, 2027
Entrance examination dates#	20th January, 2027 to 5th February, 2027 (Test centre based exam) 10th January, 2027 to 5th February, 2027 (Remotely proctored exam)
Display of result	Within 4 working days of appearing for the exam
Last date of admission	20th February, 2027

Note:

For the above mentioned Schedule, LPU is providing the following options to appear for the LPUNEST Exam. Students can choose the best-suited option to appear for exam:
- Online Remotely Proctored LPUNEST exam from home (Recommended by the university, based on available resources. Click here to view General Guidelines) and Click here to view frequently asked questions(FAQ's) about remotely proctored exam.
- Test Centre-Based Exam
The declaration date of offline exam results may vary from the above schedule. Candidates will receive their test results directly within their portal.
The remotely proctored exam will be monitored live through various Artificial Intelligence tools and by the invigilators.
This is the tentative schedule; any of the date(s) and other details as mentioned above is subject to change at the discretion of the University.
No separate intimation or announcement to any applicant(s) will be given.
Subsequent Phases of admission will be conducted if seats remain vacant .

# Candidate can select any suitable venue (if applicable), date and time, subject to its availability.
* It is advised not to wait for the last moment as you may not get the desired venue (if applicable), date and time for the exam.

Curriculum

Program Educational Objective

PEO 1: Work in Educational, R andamp; D Institutes/Laboratories, Industry and/or as an Entrepreneur after higher level of learning as a data science professional and perform the duties with ethical and moral values to exhibit skills by applying research principles for handling real life problems with realistic constraints.
PEO 2: Pursue doctoral studies and research in the institutes of high repute along with developing independent and lifelong learning skills for continuous professional growth.
PEO 3: Ability to communicate the findings or express innovative ideas in an effective manner by applying research skills, technical knowledge and tools pertaining to data science and analytics while working individually and in teams with an awareness of professional, social and ethical responsibilities.

Programme Outcomes

PO 1: Research and Problem Solving : Ability to independently carry out research /investigation and development work to solve practical problems.
PO 2: Technical Communication : Ability to write and present a substantial technical report/document.
PO 3: Comprehensive Discipline Knowledge : Demonstrate a degree of mastery over the area as per the specialization of the program. The mastery should be at a level higher than the requirements in the appropriate bachelor program
PO 4: Modern tool Usage : Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
PO 5: Ethics : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO 6: Life-long learning : Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Programme Specific Outcomes

PS O1: Develop an in-depth knowledge and acquire skill sets on mathematical, statistical, and data science techniques to perform complex data analytics, data modeling, and processing of large and real time data sets.
PS O2: Practice and promote the span of data science and analytics for societal needs and contribute to advancement of its by means of research and development.
PS O3: Ability to analyze, evaluate and provide a holistic solution for real-life problems by building data models through tools and technologies, with analytical and managerial skills for cost effective and optimum solutions.

Click here for more information.

Programme Fee (Admission 2027)

For International Applicants

Programme Fee (Per Semester): Rs. 1,00,000/-

Details

Scholarship Amount
(Per Semester)

Applicable Fee After Scholarship
(Per Semester)

For LPU RISE (Recognizing India’s Scholarly Excellence)
(100% Scholarship on Full Programme Fee and Hostel Accommodation (4 seater Non- AC))*

Group A	Group B
National Rank Holders in Competitive Exams (Open Merit)	Admission to Elite Institutions (Confirmed Seats)

*Terms and Conditions Applied. Click here to view details

Rs. 1,00,000/-
(i.e. 100% of the programme fee)

Nil

LPUNEST score equal to or higher than the Category A+ cut-off
Or
90% or above aggregate marks in Post Graduation or Graduation.
Or
95% or above aggregate marks in 12th.

Rs. 70,000/-
(i.e. 70% of the programme fee)

Rs. 30,000/-

LPUNEST score equal to or higher than the Category A cut-off
Or
85% - 89.99% aggregate marks in Post Graduation or Graduation.
Or
90%–94.99% aggregate marks in 12th.

Rs. 50,000/-
(i.e. 50% of the programme fee)

Rs. 50,000/-

LPUNEST score equal to or higher than the Category B cut-off
Or
80% - 84.99% aggregate marks in Post Graduation or Graduation.
Or
85%–89.99% aggregate marks in 12th.

Rs. 40,000/-
(i.e. 40% of the programme fee)

Rs. 60,000/-

LPUNEST score equal to or higher than the Category C cut-off
Or
70% - 79.99% aggregate marks in Post Graduation or Graduation.
Or
75%–84.99% aggregate marks in 12th.

Rs. 30,000/-
(i.e. 30% of the programme fee)

Rs. 70,000/-

Examination Fee

Rs. 5,000/- (Per semester)

Uniform Fee

Rs. 4,000/- (One-time)

- The programme fee remains the same throughout the duration of the programme.
- Scholarships/Financial Aid remain applicable throughout the duration of the programme.*
*For complete details, please refer to the Terms and Conditions provided in the Prospectus (Part B).

Click here for more information.

How to Apply

Step 1 – Sign Up
- Register on the LPUADMIT portal by providing your basic details, including your name, email address, mobile number, state, and gender. Your email address will serve as your username, and you will set your password during registration.
- You will receive a registration confirmation email at your registered email address.
- After successful registration, log in to LPUADMIT using your username and password.
Step 2 – Apply for LPUNEST (Entrance and Scholarship Test)
LPUNEST is LPU’s national-level online entrance and scholarship test, used to evaluate candidates for admission and determine applicable scholarship benefits based on their test performance.
- Pay the applicable fee:
  - The cost of the application form, including a soft copy of the LPUNEST Kit, is Rs. 1,000/-.
  - The cost of the application form, including a hard copy of the LPUNEST Kit, is Rs. 1,500/-.
- Fill in the test application form.
Step 3 – Book the Exam Slot and Appear for the Exam
- Book a slot to appear for the LPUNEST exam:
  - For the test centre-based exam, book the preferred venue, date, and time.
  - For the remotely proctored online exam, book the preferred date and time. Click here to view the General Guidelines.
- Appear for LPUNEST and qualify to proceed to the next step.
Step 4 – View Result
- View your LPUNEST result and proceed with the admission process.
Step 5 - Confirm Your Admission
- Deposit an initial payment of Rs.10000. After successful payment, a unique candidate ID will be generated and sent to your registered email address.
- Upload the documents:
  - Recent Photograph
  - Matriculation Marksheet
  - Qualifying Examination Certificate/Marksheet
  Also, if the applicant is claiming a scholarship based on an earlier qualification, the certificate/marksheet for that qualification must also be submitted. If this certificate/marksheet is not available at the time of filling in the application form, as in the case of recently appeared candidates, it may be submitted later.
  - Address Proof
- Apply for residential, mess, transportation, or parking facilities, as required.
- Get all submitted documents verified against the originals within the prescribed timelines.
- Deposit the balance fee within the timelines prescribed by the University.

Lovely Professional University [LPU]: Phagwara

Lovely Professional University

Phagwara, Punjab

Admission to M.Tech. (Data Science and Analytics) Program, 2027