LPU - Lovely Professional University

In the M.Sc. (Data Science) programme at LPU, students are generally exposed to programming languages that are widely used in data analytics and artificial intelligence, with a strong focus on Python. The curriculum also introduces tools and technologies used for data handling, statistical analysis, machine learning, and visualization. This practical approach helps students build coding skills that match current industry requirements and supports better career opportunities in data Science related fields.

Yes, the M.Sc. (Data Science) programme at LPU includes topics related to Machine Learning and Artificial Intelligence as part of its curriculum. The course generally focuses on data analysis, predictive modeling, machine learning techniques, AI fundamentals, programming, and big data tools. The curriculum is designed to help students build practical skills through projects and industry oriented learning. These areas are useful for careers in Data Analytics, AI, Business Intelligence, and related technology fields.

After completing M.Sc. (Data Science) from LPU, placement opportunities are available in roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Associate, Data Engineer, and AI Analyst. The curriculum focuses on practical learning, industry relevant tools, projects, and analytics skills. This helps students build strong technical knowledge and improve employability. Career opportunities are available across IT, finance, healthcare, e commerce, and consulting sectors, depending on skills, projects, and overall performance.

From the curriculum details available, M.Sc. (Data Science) at LPU covers tools and technologies used in modern data analysis and AI. Students learn programming with Python, database management using SQL, machine learning, data visualization, big data concepts, statistical analysis, and AI applications. The curriculum also includes hands on projects, industry oriented learning, and practical exposure to analytics tools, helping build skills for careers in Data Analytics, Business Intelligence, and Data Science.

From the curriculum details available, M.Sc. (Data Science) at LPU covers tools and technologies used in modern data analysis and AI. Students learn programming with Python, database management using SQL, machine learning, data visualization, big data concepts, statistical analysis, and AI applications. The curriculum also includes hands on projects, industry oriented learning, and practical exposure to analytics tools, helping build skills for careers in Data Analytics, Business Intelligence, and Data Science.

After completing M.Sc. (Data Science) from LPU, career opportunities can be found in roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Associate, Data Engineer, and AI Specialist. The curriculum focuses on practical projects, analytical skills, and industry relevant tools, which helps graduates understand real business problems and work across sectors like IT, finance, healthcare, e commerce, and consulting. Strong demand for data professionals continues to create diverse career pathways and growth opportunities.

Students can apply for scholarships at the last stage of admission process. After uploading documents, students get an option to apply for scholarship, hostel and other facilities. The scholarships are based on entrance merit. 

Admissions in BA LLB are based on entrance exam scores. Students have to appear one of the accepted exams to get admissions. The accepted exams are LPUNEST, CLAT, CUET. Students have to fill an online application form as well available at the official website. 

LPU has not released its the latest placement report. However, as per 2023-24 report, the highest package offered was INR 23.7 LPA. Also, average package of top 10% students was INR 9.7 lakh. Some recruiters include EXO Edge, TSAW Drones, etc. 

LPU is a recognised univesity for law courses. It has been ranked by many reputed ranking bodies. Also, it secured #26 position in NIRF 2025 rankings in Law category.