Data Science

Yes, students in the M.Sc. (Data Science) programme at LPU get opportunities to work on real world datasets and case studies as part of their learning. The curriculum focuses on practical application of data analysis, machine learning, and visualization concepts. This approach helps build problem solving skills, industry exposure, and job ready experience alongside theoretical knowledge.

The duration is 1.5 - 2 years for the Uni of Waikato Master of Data Science course. This course equips students with a foundation of practical analysis and machine learning skills. The tuition fee for Master of Data Science course at Waikato University is around NZD 68,370 (Around INR 38 lakh).

Job roles that students can be taken up after studying this course are-

• Business Analyst
• Data Scientist
• GIS Analyst

Yes, the M.Sc. (Data Science) programme at LPU includes opportunities for internships and industry linked projects. The curriculum is designed with practical learning in mind, so students get exposure to real datasets, analytics tools, machine learning applications, and project based work. Industry interactions, hands on assignments, and internship opportunities help students build job ready skills and understand how data Science is applied in real business environments. This practical approach can support stronger career outcomes after graduation.

Carleton Uni MSc in Data Science and Analytics course is a 2-year long course. Entry intake of this course is Fall. Also, this course is applicable for Co-op. Students are required to have a Bachelor's degree with 65% - 74%. The documents required to apply to this course are-

• Resume
• Transcripts of previous studies
• Statement of intent
• Two LORs
• English language proficiency score

For students aiming for careers in Data Science and Artificial Intelligence, BCA in AI & ML with IBM at LPU can be a suitable option. The programme focuses on AI, machine learning, data analytics, programming, and industry relevant skills. Its industry oriented curriculum and practical learning approach help students build technical knowledge that is useful for future roles in AI and Data Science. Career outcomes also depend on continuous skill development, projects, internships, and hands on practice throughout the course.

VELS Institute of Science, Technology and Advanced Studies offers high-demand specialisations like Artificial Intelligence, Machine Learning, and Data Science. The BTech curriculum is specifically tailored to meet the needs of the modern tech industry.