Bachelor of Computer Applications (Honours) - Data Science

Applicants must have successfully completed 10+2 or an equivalent examination from a recognised board. A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST. Admission is based on a holistic evaluation of academic merit, aptitude, and potential to excel in the field of computing and data-driven technologies.

The BCA (Honours) in Data Science integrates industry-relevant certifications, practical workshops, and career development initiatives into the curriculum. Students participate in skill-enhancing sessions designed to familiarise them with contemporary tools and frameworks, while the Career Advancement and Networking (CAN) cell complements these efforts through workshops focused on employability, communication, and professional readiness.

Yes. Students benefit from extensive internship and placement support through the University’s established industry connections. With the rising demand for data-driven expertise, opportunities span across technology firms, start-ups, consulting organisations, finance, healthcare, e-commerce, and more. Recruiters include leading IT companies such as TCS, Infosys, Accenture, as well as analytics firms, fintech companies, and innovative start-ups.

Yes. The curriculum provides comprehensive exposure to Machine Learning and Big Data technologies, enabling students to design algorithms, work with predictive models, and handle large-scale datasets. This combination ensures graduates are adept at tackling real-world computational and analytical challenges.

A degree in Data Science from Alliance University equips students with a versatile and future-oriented skill set. Graduates can pursue careers in diverse industries where data drives innovation and decision-making or continue to advanced study and research. With businesses increasingly reliant on data analytics, the programme offers future-proof relevance and wide-ranging professional scope.

The specialisation is designed to strengthen analytical thinking and practical expertise through courses in data analytics, programming, statistics, and machine learning. Students gain hands-on experience with industry-standard tools and technologies to analyse datasets, generate insights, and develop intelligent applications.

Yes. Students acquire strong programming proficiency in Python, R, and SQL, which are foundational languages in the field of data science. These languages are applied in both coursework and projects, ensuring practical competence in managing, analysing, and visualising data.

Yes. Students are offered opportunities to work on industry-driven projects and internships that allow them to apply classroom knowledge in real-world contexts. These collaborations with leading companies help students build portfolios, gain experience with live datasets, and develop problem-solving skills valued by employers.

The University’s Career Advancement and Networking (CAN) cell plays a pivotal role in career preparation. By combining skill-building workshops, personalised mentorship, networking opportunities, and continuous placement assistance, the CAN cell ensures students are industry-ready. Its strong ties with reputed organisations like Deloitte, IBM, and other global leaders enable graduates to secure prestigious roles.

Students can connect with alumni through the Alliance Alumni Association portal, the CAN cell, LinkedIn networking, and curated alumni events. These channels create opportunities to seek guidance, understand industry trends, and build professional connections with graduates excelling in varied career paths.

Students benefit from an academic environment supported by advanced computing laboratories, cloud computing hubs, specialised data science labs, a central library with digital resources, and high-speed campus connectivity. Modern classrooms and collaborative spaces foster an ecosystem of innovation, ensuring students experience both theoretical and applied learning at the highest level.

The programme spans four years and eight semesters, offering a structured progression from foundational computing courses to advanced electives and specialisations. The curriculum balances core subjects, practical labs, workshops, internships, and a capstone project to ensure holistic development.

The programme emphasises both theoretical foundations and hands-on application, enabling students to engage with current challenges such as real-time data analytics. Through case studies, projects, and industry interactions, students are trained to analyse, interpret, and respond to dynamic datasets, a critical skill in fast-paced business and technology environments.

Yes. Alliance University provides a range of merit-based scholarships and financial assistance options. Awards are based on academic achievement, entrance examination performance, and other criteria outlined in the University’s scholarship policy. These opportunities are designed to recognise excellence and support deserving candidates.