Overview
Data Science from The University of Lahore enables you to understand the ecosystem underpinning business decisions, the tools and skills that transform raw data into actionable insights, and the steps to make data analytics ready.
Key facts
The curriculum emphasises defining sub-problems, recognising the technological frameworks required for solutions, developing advanced data-driven models, and maintaining them to support sustainable business growth.
The core courses, including Advanced Artificial Intelligence, Big Data Analytics, Heuristic Search Methods, and Deep Learning serve as the foundation towards critical data science concepts, providing you with advanced techniques for modelling, analysis, and decision-making. Elective courses, such as Natural Language Processing, Distributed Data Processing, Information Retrieval and Text Mining, Advanced Data Science, and Cloud Computing Security, offer you the flexibility to specialise in areas aligned with your career aspirations. These electives focus on emerging technologies and complex problem-solving in specialised domains.
Through a combination of coursework and a research-oriented thesis, the programme promotes the development of technical expertise and practical skills needed to address real-world challenges and drive meaningful impact across industries.
Programme Structure
Courses include:
- Tools and Techniques in Data Science
- Statistical and Mathematical Methods for Data Science
- Machine Leaming
- Big Data Analytics
- Deep Learning
- Natural Language Processing
- Distributed Data Processing
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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Language
Credits
Delivered
Campus Location
- Lahore, Pakistan
Disciplines
Data Science & Big DataWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- A degree of BS as per HEC curriculum. Students with 16 years of education in following domains (Computer Science/Information Technology/Software Engineering/Computer Engineering/Electrical Engineering/Statistics, or Mathematics) are eligible.
- The following core courses are required to be completed before entering the MS(DS) programme:
- Programming Fundamentals (Core Programming Course)
- Data Structures & Algorithms OR Design & Analysis of Algorithms
- Database Systems
- At least 2.0 CGPA (on a scale of 4.0) or 60% marks in BS or equivalent degree from any recognised institute in the relevant subject.
- Candidate must have qualified the UOL Entry Test / GAT General, with a passing score of 50%.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at The University of Lahore and/or in Pakistan, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residents186000 PKR / year≈ 186000 PKR / year -
Domestic Applies to you
Applies to youCitizens or residents186000 PKR / year≈ 186000 PKR / year
Living costs
Lahore
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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