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Bachelor of Science in Data Science & Analytics

HICAS Courses

Entry Requirements

The student must have passed Class 12th from a recognised School board of Education.

Course Duration

3 Years

Intake

66

About the Department

The Department of Data Science & Analytics was established in 2022 with the introduction of the undergraduate programme B.Sc. Data Science & Analytics. The programme is structured to provide a strong blend of theoretical knowledge and practical exposure in key areas such as data management, data analytics, programming, statistics, machine learning, and artificial intelligence. Emphasis is placed on integrating classroom teaching with technology-driven learning methodologies. The curriculum is designed to offer a broad yet in-depth understanding of both foundational concepts and emerging trends in the field of data science.

Vision

To inculcate in depth knowledge of Data Science, Data Analytics, Data management, big data Analytics, Artificial intelligence, Machine learning and other domain specific fields like national language processing, Computer vision, etc by imparting Cognitive learning environment with continuous education, research and industrial collaboration To prepare students to become globally competent Data analytic experts and researchers and expand their capacity to contribute in the field of data science by providing total solution in societal aspects.

Mission

To develop industry conducive environment by providing state-of-art infrastructure to compete in data-driven world. To empower students to provide innovative and cognitive solutions with the help of data analytical skill set and new advancements in high performance computing To build data intensive system through socio-economic aspect by promoting cross-disciplinary thinking that expands expertise in cutting edge technologies and acquire professional ethics.

Programme Description

The Data Science & Analytics programmes aim to produce skilled professionals capable of applying data mining, machine learning, statistical techniques, and predictive analytics to solve complex problems. The programme fosters technical proficiency, critical thinking, and ethical awareness required for responsible data-driven and decision-making. Graduates are prepared for roles including Data Analyst, Data Scientist, and AI Researcher, with the ability to apply their knowledge to real-world challenges in business, healthcare, and various industry domains.

Best Practices of the Department

  • ➤ Industry Collaborations: Memoranda of Understanding (MoUs) with reputed IT and Data Science organizations to strengthen industry–academia interaction.
  • ➤ Project-Based Learning: Industry-mentored mini projects and final-year projects that address real-world problem statements.
  • ➤ Value-Added Certifications: Specialized certification programmes offered in collaboration with industry partners.
  • ➤ Academic Resource Centers: Recognised Nodal Centre for IIT Virtual Labs and IIT Bombay Spoken Tutorial to improve hands-on learning.
  • ➤ Entrepreneurship Development: Encourage student innovation and entrepreneurship through MSME initiatives, Udyam Rise programmes, and Startup Hackathons.
  • ➤ Social Responsibility: Enable students to actively participate in and promote the United Nations Sustainable Development Goals (UN SDGs) – 2030 Agenda.

Goals & Objectives

✓ Build strong foundations in data mining, R Programming, Big Data, Deep Learning, Business Analytics, and Web Analytic, machine learning, visualization, predictive modeling, IoT and statistics.

✓ Enable students to interpret complex datasets and develop research-oriented solutions to real-world challenges

✓ Equip graduates with the skills required for professional roles such as Data Analyst, Data Scientist and Business Analyst.

✓ Develop a professional ethics, and leadership abilities for data-centric careers.

Faculty Members

Alumni

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HICAS Bachelor of Science in Data Science & Analytics