Bachelor of Computer Applications (BCA) in Data Analytics
Undergraduate Programme
Timings
- 7:00 AM – 1:00 PM (Closed on 16 April 2026)
Programme Details
The BCA (Data Analytics) curriculum is strategically engineered to align with the dynamic requirements of the global technology sector, positioning graduates for high-demand career trajectories. As industries are increasingly transformed by the convergence of Big Data, Artificial Intelligence (AI), and the Internet of Things (IoT), this program addresses the exponential growth in demand for specialized data science competencies. By integrating these emerging technologies into the core pedagogy, the department ensures that students remain at the competitive forefront of the digital economy.
Admission & Selection Process
Will be updated soon.
Eligibility
- A candidate who has passed the two years Pre-University Examination conducted by the Pre-University Education Board in Karnataka or Three years Diploma in Engineering of Government of Karnataka or any other examination considered equivalent thereto shall be eligible for admission. They must have studied mathematics/Basic mathematics/Business Mathematics or Statistics or Computer Science at plus two level.
- Students of undergraduate programmes must study two languages, out of which one shall be English and the other shall be either an Indian language or a foreign language other than English. The University offers the following language courses: Introductory Kannada, Introductory French, Introductory Spanish, Kannada, Hindi, Tamil, Sanskrit, French, Additional English and German. CBSE and ISC students and others who have not studied a second language at the plus two level are encouraged to opt for Introductory Kannada, Introductory French, Introductory Spanish or German. These are taught from the introductory level and require no prior acquaintance. Only those students who have not learnt these languages either in school or class XI or XII are eligible to enroll for these introductory level courses as second language. Students need PUC/XII level competence to study Sanskrit, Kannada, Tamil, Hindi and French courses. Additional English is meant for students who have serious problems learning other languages.
- The University offers the following language courses: Introductory Kannada, Introductory French, Introductory Spanish, Kannada, Hindi, Tamil, Sanskrit, French, Additional English and German.
- CBSE and ISC students and others who have not studied a second language at the plus two level are encouraged to opt for Introductory Kannada, Introductory French, Introductory Spanish or German. These are taught from the introductory level and require no prior acquaintance. Only those students who have not learnt these languages either in school or class XI or XII are eligible to enroll for these introductory level courses as second language.
- Students need PUC/XII level competence to study Sanskrit, Kannada, Tamil, Hindi and French courses.
- Additional English is meant for students who have serious problems learning other languages.
Syllabus
The syllabus for the Bachelor of Computer Applications (Data Analytics) is as follows:
Fee Structure
| BCA in Data Analytics | Karnataka | Non-Karnataka | NRI / OCI | SAARC | Foreign |
|---|---|---|---|---|---|
| Admission Fee (Non-refundable One-Time Fee) | ₹5,000 | ₹5,000 | ₹5,000 | ₹5,000 | ₹5,000 / US $56 |
| I Year | ₹1,50,000 | ₹1,65,000 | ₹2,10,000 | ₹2,10,000 | ₹2,50,000/US $2778 |
| II Year | ₹1,60,000 | ₹1,75,000 | ₹2,20,000 | ₹2,20,000 | ₹2,60,000/US $2890 |
| III Year | ₹1,65,000 | ₹1,85,000 | ₹2,25,000 | ₹2,25,000 | ₹2,65,000/US $2944 |
THE ADDITIONAL FEE TO BE PAID IS AS FOLLOWS:
| A | German / French / Additional English / Introductory French / Introductory Spanish (2nd Language) | ₹20,000 |
|---|---|---|
| B | Introductory Kannada | ₹1,000 |
| C | Sanskrit | ₹5,000 |
| D | Field Visit |
- Students opting For Kannada/Hindi/Tamil will not be charged any additional fee
Note:
- Please note: if admitted, the fee must be paid in full within the time prescribed in the Admit Intimation.
- To claim the Karnataka category fee, the candidates should have studied the last 7 years in Karnataka.[Not applicable for OCI (Overseas Citizens of India), PIO (Person of Indian Origin), and Foreign Nationals].
NRI fee is applicable for the full duration of the Programme for candidates who:
- Have pursued and completed their last qualifying exam from outside India.
- NRI and candidates who have applied under the NRI category.
The Management / University does not collect any type of Capitation fees / Donation other than the fees mentioned above.
Programme Objectives
- Industry-Aligned Competence: Master a curriculum strategically engineered to meet contemporary global demands, ensuring graduates are prepared for high-growth career trajectories in the evolving digital economy.
- Technological Integration: Develop proficiency in the convergence of Big Data, Artificial Intelligence (AI), and the Internet of Things (IoT), addressing the exponential demand for specialized data science expertise.
- Quantitative and Statistical Mastery: Cultivate a deep command of advanced statistical tools and analytical concepts, providing the necessary framework for rigorous, data-driven decision-making.
- Applied Business Intelligence: Bridge the gap between theoretical modeling and corporate strategy by applying analytical techniques to solve complex challenges within modern business environments.
- Actionable Insight Generation: Acquire the ability to synthesize vast, unstructured datasets into clear, actionable insights that drive institutional efficiency and competitive advantage.
Programme Outcomes
- Apply knowledge of computing fundamentals, algorithms, mathematical and statistical principles to solve problems relevant to the domain of data analytics.
PO1: Discipline Knowledge
- Identify, define, analyse complex problems to assist in decision making for data analytics using structured problem-solving techniques, visualizations, mathematical models, and modern tools.
PO2: Problem Analysis and Decision Making
- Design and implement efficient solutions for data-centric problems based on real time using appropriate programming languages, tools, AI, and machine learning models.
PO3: Design and Development of Real-world Solutions
- Apply current data mining analytics tools, programming environments, libraries, and computational frameworks for data processing and visualization.
PO4: Modern Tool Usage
- Interpret and analyse data using mathematical/statistical models and computing frameworks to draw meaningful inferences and support managerial decision-making.
PO5: Data Interpretation and Statistical Reasoning
- Understand the legal, ethical, and societal responsibilities related to data ownership, privacy, and usage, and follow best practices in data governance and security.
PO6: Ethics and Big Data Governance
- Communicate technical concepts, analytical findings, and interpretations clearly and effectively to diverse audiences.
PO7: Effective Communication Skills
- Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary projects with the ability to manage projects related to software and data science.
PO8: Teamwork and Project Management
- Recognize the need for lifelong learning and adapt to emerging technologies and methods in the rapidly evolving field of data science and analytics.
PO9: Lifelong Learning
- Develop aptitude for research by formulating hypotheses, experimenting, analysing, and interpreting data using scientific methods and tools.
PO10: Research Aptitude
Potential Career Options
Upon successful completion of this programme, supplemented by individual potential, and competencies, students will have the following career opportunities.
- Translating raw datasets into actionable insights for operational efficiency, essential for the high-volume services.
- Designing strategic dashboards to guide executive decision-making, particularly within the financial and consulting frameworks.
- Constructing and maintaining the robust data pipelines required for the enterprise-level infrastructures of firms.
- Leveraging machine learning and predictive modeling to solve complex industrial problems for diversified conglomerates.
- Optimizing flight data, safety protocols, and predictive maintenance for global leaders.
- Performing quantitative assessments and market trend analysis to ensure fiscal security within the banking operations.
- Streamlining logistics and consumer behavior analytics for major distribution and retail brands.
- Managing resource allocation and sustainability analytics for global energy majors..
- Utilizing data-driven monitoring to protect institutional assets from digital threats.
Placement
Companies – MNCs like EY, KPMG, Deloitte, LTMindtree and Startups
Admission Queries
For all queries related to admissions please contact the following:
| Mobile Number | 0091 94808 11912 |
|---|---|
| Email ID | [email protected] |
Note : Admission queries are addressed only through the above contact numbers and email ID.
In accordance with the Institution’s long-standing policy, St Joseph's University does not entertain any agents for admissions, neither accepts any capitation/donations for admissions nor endorses such practices. This policy is also propagated by our staff, students, and stakeholders. Any staff or student of SJU selling admissions of SJU will warrant legal action. Under no circumstances will the University be held responsible or liable in any way for any losses, expenses, costs or liabilities whatsoever resulting or arising directly or indirectly from any individual or group or company or agency falsely promising or guaranteeing seats in SJU.
St Joseph's University strives to always and uncompromisingly uphold its values.
Documents Required
Selected candidates must first update the following documents on their admission portal before the interview. The admitted students must submit the original documents at the Admin Office:
- Class 10th Certificate (High School) and Marks Card
- Class 11th Certificate and Marks Card
- Class 12th Certificate (Senior Secondary School) and Marks Card
- Transfer Certificate from last qualified institution
- Migration Certificate except for the Karnataka State Board applicants
- Two passport-size photographs and one stamp-size photograph in formal dress with a white background
- Two Photocopies of the Online Payment Receipt
- Valid ID proof such as Aadhaar Card / PAN Card / Voter ID Card
Candidates belonging to any of these categories -PIO / OCI / SAARC / FOREIGN NATIONALS-must submit the following documents:
- Photocopy of Passport and Visa Details
- Copy of PIO / OCI card (whichever is applicable and available at the time of admission)
- Certificate of Medical Fitness from an approved medical practitioner accredited by the Medical Council of India
- Resident Permit (If available)