Science

Yes, during the academics of M.Sc. Data Science, students of Lovely Professional University (LPU) do get chances to independently work with real-life data sets or case studies. Prof. Intent of the Course by introducing both theory and practice aspects on machine learning, data analytics, statistics, Artificial Intelligence and data visualization tools. This method assists students in grasping the concepts of applying data Science in addressing business and research challenges in real-world situations.

The project based learning is one of the characteristics of the programme. The students may, for example, be learning about customer buying behavior, or forecasting patterns in their sales, or perform a machine learning modeling using a very large data set. They also have lessons dedicated to real-life case studies, which involve them in cleansing data, recognising patterns and generating insights. These activities provide students with opportunities to practice skills and tools that are used by data professionals and to build problem solving skills.

But LPU also learns from within, which is reflected in through way of internships and workshops, industry interaction and research activities. The state of the art computer labs, well-established faculty and much support from the teaching staff allows students to have extensive practical projects in their portfolio, which makes them better equipped for jobs in data sciences, analytics and artificial intelligence.

Students from the Background also have opportunities for placements in different fields such as Information Technology, Banking, Healthcare, E-Commerce, Finance, Analytics, and Consultancy after completing their M.Sc. in Data Science programme at Lovely Professional University (LPU). The programme helps the graduates achieve proficiency in Data Analytics, Machine learning, Artificial Intelligence, Big Data, Data Visualisation, Data Programming which naturally follow a successful passage for their career as Data Analyst, Data Scientist, Business Analyst, Machine learning Engineer and AI Associate. The placement process will also be facilitated at LPU with the help of Job-oriented aptitude coaching, technical workshop, coding class and mock interview.

Strength and areas for development of the programme: learning by doing is emphasized; cohesion is needed to foster this. In projects and internships, for instance, students engage with real-world data, build predictive models and build up data visualization dashboards. They learn of these experiences which can be demonstrated in interviews for placement. Students learn the algorithms in class and get to experience the myriad ways that class learned algorithms can be used to solve real world business problems using a data-driven approach.

LPU furthers graduates' employability by engaging industry, organizing seminars, supporting research and internships. Students are exposed to real-life experiences, career readiness and job-related learning objectives, giving them a comprehensive preparation for a variety of careers in data Science across the different industries.