Brief Overview

Bachelor of Computer Applications (Honours) – BCA (Honours) – Data Science

The Data Science Honors program is an undergraduate degree program designed to provide students with a comprehensive understanding of computer applications and data science principles. Throughout the program, students are immersed in a curriculum integrating foundational computer science knowledge with advanced data science techniques.

This program equips students with the analytical, technical, and problem-solving skills needed to excel in various roles within the data science field, including data analysis, machine learning, artificial intelligence, and business intelligence. Graduates are prepared to contribute effectively to organizations in today\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\'s data-driven world.

Duration

Four Years / Eight Semesters

PEO (Program Educational Objectives)

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PSO (Program Specific Outcomes)

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PO (Program Outcomes)

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Curriculum Structure

Year 1
Semester-wise Syllabus
Semester I
  • Mathematics for Computing
  • Python Programming
  • Lab - Python Programming
  • Fundamentals of Computer Architecture
  • Operating Systems
  • Interpersonal and Essential Skills - I
  • Analytical Reasoning and Problem solving - I
Semester II
  • Introduction to Data Science
  • Data Structures and Algorithms
  • Object Oriented Programming Java
  • Lab - Object Oriented Programming Java
  • Statistics for Data Science
  • Interpersonal and Essential Skills - II
  • Analytical Reasoning and Problem solving - II
Year 2
Semester-wise Syllabus
Semester III
  • Machine Learning Fundamentals
  • Data Visualization
  • Database Management Systems
  • Probability and Statistical Inference
  • Networking and Security
  • Virtual Internship
  • Interpersonal and Essential Skills - III
Semester IV
  • Full Stack Development
  • Data Warehousing and Mining
  • Natural Language Processing
  • Artificial Intelligence
  • Software Engineering
  • Cloud Computing
  • Virtual Internship
Year 3
Semester-wise Syllabus
Semester V
  • Capstone Projects
  • Deep Learning
  • Big Data Analytics
  • Business Analytics
  • Introduction to Internet of Things (IoT)
  • Recruitment Essentials
  • Career Competency Enhancement
Semester VI
  • Industry Internship Program
Year 4
Semester-wise Syllabus
Semester VII
  • Deep Learning
  • Introduction to Expert Systems
  • Big Data
  • Introduction to Generative AI
  • Internet of Things
Semester VIII
  • Capstone Project
  • Final Presentation - Viva Voce
COURSE OF INDEPENDENT STUDY

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Student

Being a B.Tech. IT student at Alliance University has been a truly engaging experience. The program combines strong fundamentals with practical exposure through projects and hands-on learning, helping me understand real-world applications of technology. With supportive faculty and a collaborative environment, I’ve been able to grow in both skill and confidence, preparing me for a career in IT.

Aashish Kumar
Batch: 2022-26

My journey as a B.Tech CSE student at Alliance University has been both challenging and rewarding.The curriculum builds strong fundamentals while emphasising hands-on learning through projects and real-world applications. With approachable faculty and opportunities to collaborate and participate in technical events, learning goes beyond the classroom. Overall, the experience is shaping me into a confident engineer and problem-solver.

Nawneet Raj
Batch: 2022-26

My experience pursuing B.Tech in Computer Science Engineering at Alliance University has been highly rewarding. The program offers a well-balanced curriculum that combines strong theoretical foundations with practical exposure.The faculty members are knowledgeable and supportive, always encouraging us to explore beyond the classroom. Through projects, hackathons, and hands-on learning, I was able to develop both technical and problem-solving skills.The campus environment and infrastructure further enhance the learning experience. Overall, this journey has played a significant role in shaping my skills and preparing me for a career in the tech industry.

Anurag Kumar Prajapati
Batch: 2023-2027

As a final-year BBA student at Alliance University, my journey has been both enriching and transformative.The program strengthened my business fundamentals while giving me hands-on exposure through projects and discussions, building my confidence in decision making. With supportive faculty, collaborative peers, and opportunities beyond academics, I’ve grown both personally and professionally.
Alliance University has shaped me into a confident, career-ready individual.

ARYAN AGARAHARI
Batch: 2023-2026

What I’ve experienced at Alliance University is not just learning business, but learning how to think like one.
Through projects, presentations, and exposure to areas like marketing and finance, I’ve built both clarity in thought and confidence in expression.
The environment constantly encourages you to take initiative, and that has made all the difference in preparing me for the professional world.

Rajnandini Malewadi
Batch: 2025-2029

As a second-year B. Design student at Alliance University, my journey so far has been about learning to think beyond just creating.
The program has helped me move from focusing only on aesthetics to understanding users, context, and the purpose behind every design decision. The learning environment encourages us to question ideas, experiment freely, and develop our own design perspective, while also building discipline in how we execute and present our work.
In these two years, I’ve grown not just in skills, but in the way I approach problems  and that’s what makes studying design at Alliance University truly meaningful.

Anannya Jain
Batch: 2024-2029

Looking back, what stands out about my time at Alliance University is not just what I’ve learned, but how I’ve learned to think.
The shift from simply studying law to questioning, interpreting, and forming my own perspective has been gradual but meaningful. Through moots, discussions, and real-world context, learning has felt active and engaging.
Today, I find myself more confident in how I analyze, articulate, and respond — and that, more than anything else, defines my journey here.

Chelana Sanklecha
Batch: 2021- 2026

Somewhere along my journey at Alliance University, BBA LL.B. became less about subjects and more about understanding connections.
The blend of business and law, through case studies and practical exposure, has helped me think more holistically and respond with clarity.
What I take forward is not just knowledge, but confidence in how I analyse and approach situations.

Shreya Pragadh
Batch: 2023-2028

Studying B.A. LL.B. at Alliance University has changed how I think, more than anything else.
It’s not just about learning law  it’s about learning how to question it. From analysing cases to participating in moots, every experience pushes you to form your own perspective rather than rely on ready-made answers.
What makes this journey meaningful is the environment. The faculty guide without restricting, and the constant exchange of ideas keeps you engaged.Somewhere along the way, you realise you’re not just studying law you’re learning how to think with clarity, argue with purpose, and respond with responsibility.

ISHITA SHUKLA
Batch: B.A.LL.B.

My MBA experience at Alliance University has been highly enriching. The program combines strong academics with practical exposure, helping me develop critical thinking and leadership skills. Supportive faculty, industry-oriented curriculum, and various learning opportunities have prepared me well for a successful career.

Palak Jain
Batch: 2025-2027

My experience pursuing BCA in Artificial Intelligence and Machine Learning at Alliance University has been both challenging and enriching. The program has helped me build a strong foundation in programming, data science, and analytical thinking. Through projects, assignments, and practical exposure, I have gained valuable skills that prepare me for real-world technology and AI applications.

Anuska Ghosh
Batch: 2024-2028

Alliance University has helped me build a strong foundation in computer science and technology. The program combines theoretical knowledge with practical learning through projects and assignments. I have gained exposure to areas like programming, data structures, machine learning, NLP, and AI related concepts so far. The collaborative environment and supportive faculty encourage continuous learning and problem-solving. Overall, it has been a valuable step in developing my technical and analytical skills.

Vishesh Gurnani
Batch: 2024-2028
FAQS

Everything You Need to Know

Graduates of the BCA (Honours) in Data Science programme are well-positioned to enter the rapidly growing domains of data science and analytics. The programme equips students with in-demand technical and analytical skills, opening pathways to roles such as Data Analyst, Machine Learning Engineer, Data Scientist, Business Intelligence (BI) Analyst, and other specialised positions across industries. These careers offer both intellectual fulfilment and strong growth prospects in today’s digital economy.
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.