B.Sc. Computer Data Science & Data Analytics Engineering

One of the first programmes in the twin cities to combine Statistics and Computer Science.

Introduction

The B.Sc. Computer Data Science and Data Analytics Engineering programme was introduced at Loyola Academy in the academic year 2016-17 to meet the growing demand for professionals with strong analytical skills.

It is one of the first programmes in the twin cities that uniquely combines Statistics and Computer Science, offering students a powerful interdisciplinary foundation.

The course focuses on analyzing and interpreting large volumes of data to support informed decision-making in real-world scenarios. The curriculum is designed with industry relevance in mind and includes technologies such as Python, R Programming, Big Data using Hadoop, and Machine Learning. Students develop strong skills in programming, statistical analysis, and data visualization.

To enhance practical exposure, the department regularly organizes workshops, seminars, and industrial visits. Students actively work on real-time projects, which help in strengthening their analytical thinking and problem-solving abilities. The department has also maintained a good placement record, with students being recruited by reputed IT and analytics companies. Overall, the programme aims to develop skilled, industry-ready data professionals.

The course provides students with opportunities for:

Higher Studies
Employment
Entrepreneurship

💼 Job Opportunities

Graduates have access to a wide range of high-demand career opportunities across multiple industries. Prominent roles include Data Analyst, Data Scientist, Business Analyst, Machine Learning Engineer, Data Engineer, Statistical Analyst, AI Engineer, Research Analyst, and Big Data Analyst.

With the increasing importance of data-driven decision-making, these professionals are highly valued in sectors such as IT, banking, healthcare, e-commerce, finance, and consulting.

🏢 Placement Opportunities in Top MNCs

The programme has a strong placement track record, with students securing positions in leading multinational companies such as JPMorgan Chase, Cognizant, Tata Consultancy Services, Amazon, and Deloitte.

Students are also placed in analytics firms, startups, and product-based companies, offering competitive salary packages and strong career growth opportunities.

🎓 Higher Education Opportunities

In India, students can pursue M.Sc. in Data Science, Statistics, or Computer Science, MCA, MBA in Business Analytics or IT, and postgraduate diplomas in Data Science, Artificial Intelligence, or Machine Learning.

Abroad, students have excellent opportunities to pursue MS programmes in Data Science, Artificial Intelligence, Business Analytics, and Computer Science in countries like the USA, Canada, UK, Australia, and Germany.

📊 Importance of the Course

The programme is highly relevant in today's digital age, where data plays a crucial role in innovation and decision-making. Its interdisciplinary nature, combining Statistics and Computer Science, provides a unique and valuable skill set.

It ensures a future-proof career, as data science, AI, and analytics are among the fastest-growing fields globally. The strong focus on practical exposure through projects, workshops, and industry interaction prepares students for real-world challenges.

Vision & Mission

Vision

To empower the students of B.Sc. Computer Data Science & Data Analytics Engineering to be technologically advanced and innovative through quality education.

Mission

To apply knowledge in Computer Science, including interdisciplinary areas that define the scope of Data Science.
To educate students to be effective problem-solvers and successful in their field.
To contribute positively to the industry and to prepare the students to solve complex data challenges of the current era.

Prospectus

Explore detailed guidelines, degree requirements, learning outcomes, and career pathways for the B.Sc. Computer Data Science & Data Analytics Engineering programme.

Download Full Prospectus (PDF)