Bachelor of Technology in Computer Science Engineering - Data Science with Machine Learning

at Lovely Professional University India

The programme provides an advanced skill development in game design, game art and game engine integration. Focus on sharpening visualization and look development competencies, which enables proficiency in students to handle and deliver industry standard projects/output.

Two year programme embedded with master thesis provides thorough knowledge of cutting-edge techniques in theoretical and applied economics.

A two-year postgraduate degree programme designed to provide basic and applied knowledge with skills in the production of vegetable crops including in-depth knowledge of taxonomy, reproduction biology, vegetable breeding, biotechnology, biodiversity conservation, pre post-harvest management, organic production and GAP in vegetable cultivation.

A professional degree imparting the knowledge, skills and techniques required by professional planners for preparing various spatial and sectoral plans and strategies for urban settlements.

Constructing strong basic foundation in concepts of information technology for crafting developers with latest platforms for futuristic needs.

Provides strong industrial connotations designed to impart expertise in dosage form design and evaluation.

Programme is a judicious mix of conventional economics courses and modern day analytical tools on data analysis.

This programme provides students a competitive edge in the job market by offering robust curriculum and hands-on learning in Data Science and Machine Learning to develop competence which caters to the requirements of the industry. It is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics and visualisation technologies.

Focus is on innovation through experimentation and research with live industry projects

Constructing strong basic foundation in concepts of biological sciences and inculcating the skill to translate their theoretical knowledge in tackling the scientific and societal challenges.