Programme overview and scope:
MS degree programme in Data science will provide students the comprehensive skills and knowledge they need to pursue the best career option in one of the most dynamic areas of modern technology. The program will prepare students with broad scientific knowledge, an aptitude in a variety of mathematical and statistical techniques and the ability to synthesize. The main aim of the program is to provide students with the options to be part of a data science endeavour that begins with the identification of business processes, determination of data provenance and ownership, understanding the ecosystem of the business decisions, skill sets and tools that shape the data, making data amenable to analytics, identifying sub-problems, recognizing the technology matrix required for problem resolution, creating incrementally-complex data-driven models and then maintaining them to ultimately leverage them for business growth.
Programme Objectives:
The main objectives of the MSDS degree programme are:
⦁ To equip students with an in-depth understanding of core and advanced concepts in data science, including data engineering, machine learning, statistical modeling, and big data technologies.
⦁ To develop students’ ability to think critically and analytically, enabling them to design and implement data-driven solutions that address complex organizational and societal challenges.
⦁ To train students in the application of advanced computational, statistical, and machine learning methodologies to extract meaningful insights from diverse and large-scale datasets.
⦁ To produce professionals capable of meeting the growing demand for data science expertise in national and international markets, across industries such as finance, healthcare, and technology.
⦁ To encourage students to engage in innovative research and prepare for advanced studies, enabling contributions to cutting-edge developments in data science and related fields.
Learning Outcomes:
After the completion of degree students will be able:
⦁ Comprehensive Knowledge: To demonstrate a deep understanding of specialized areas in data science, including machine learning, big data analytics, and statistical modeling, fostering a broad perspective on the field’s potential applications and impact.
⦁ Critical Thinking and Problem Solving: To exhibit strong analytical and problem-solving skills to address complex, data-driven challenges, applying innovative and evidence-based approaches to real-world scenarios.
⦁ Practical Application: To apply advanced data science tools, techniques, and methodologies to develop solutions that address critical societal and industrial needs, delivering strategic value.
⦁ Research Excellence: To conduct impactful research in challenging areas of data science, contributing novel insights, methodologies, and advancements to the field’s body of knowledge.
⦁ Academic Readiness: To demonstrate readiness for advanced studies, including doctoral programs, in data science and allied disciplines, at globally renowned institutions.