Overview
The M.Tech in Data Science and Analytics at Lovely Professional University is meticulously crafted to provide students with a robust foundation in data science principles and practices. Over the course of two years, students will engage in a comprehensive curriculum that encompasses both theoretical knowledge and practical applications, ensuring they are well-prepared to meet the demands of the industry.
Why Data Science and Analytics at Lovely Professional University?Lovely Professional University (LPU) stands out as one of India's most internationalised campuses, offering students a unique opportunity to gain exposure to global perspectives in data science. The university is renowned for its strong emphasis on research and innovation, bolstered by partnerships with leading organisations and access to cutting-edge facilities. LPU's commitment to academic excellence is reflected in its high rankings and the success of its alumni in various sectors.
Tuition Fee BreakdownThe tuition fee for international students enrolled in the M.Tech in Data Science and Analytics programme is USD 2,950 per semester. Additionally, there is an examination fee of USD 75 per semester. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe programme is structured into four semesters, with a blend of core subjects and practical labs:
- Advanced Data Structures and Algorithms
- Data Management
- Data Warehousing and Data Mining
- Statistics for Data Science
- Big Data Analytics
- Data Science with Python
- Dissertation I and II
- Research Methods and Design
- Soft Skills
Graduates of the M.Tech in Data Science and Analytics programme are well-equipped to pursue various career paths. They can find employment as Data Analysts, Data Scientists, and Machine Learning Experts within the IT industry. Many alumni have successfully secured positions in government and private sectors, while others have opted for academic careers as Assistant Professors in universities. Additionally, there are opportunities for further studies, such as pursuing a PhD in data-related fields.
Programme Structure
Courses include:
- Agile Software Development Methodologies
- Applied Machine Learning
- Dissertation
- Network Security And Cryptography
- Network Security And Cryptography Laboratory
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Delivered
Campus Location
- Phagwara, India
Disciplines
Data Science & Big Data Data Analytics View 17 other Masters in Data Analytics in IndiaWhat 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
Other requirements
General requirements
- Pass with 50% marks in B.Tech. (any stream) or MCA or M.Sc. (Information Technology or Computer Science) or equivalent and English Language Requirement (ELR).
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 Lovely Professional University and/or in India, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents5900 USD / year≈ 5900 USD / year
Additional Details
- Fee (for International applicants from Sri Lanka, Bhutan, Nepal and Bangladesh): 120000 (Per Semester).
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Analytics.
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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