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Programme Details

Master of Science (M.Sc.) in Big Data Analytics

Master of Science (M.Sc.) in Big Data Analytics

Postgraduate Program

Timings

  • 9:00 AM – 4:00 PM
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About the Programme

The MSc Big Data Analytics programme is designed to equip students with advanced knowledge and practical skills required to manage, process, and analyze large-scale data for real-world decision making. The curriculum emphasizes Data Engineering, Advanced Analytics, and Artificial Intelligence, enabling students to build end-to-end data pipelines, work with distributed computing frameworks, and derive meaningful insights from complex datasets. With a strong focus on hands-on learning, students engage in mini-projects and industry-based case studies that address real-world challenges across domains such as healthcare, finance, retail, and smart systems. The programme also promotes research-oriented learning, encouraging students to undertake research projects, develop innovative solutions, and publish research papers in conferences. Additionally, the curriculum integrates industry-focused tools and technologies, including big data platforms, cloud computing, machine learning, and data visualization, ensuring students gain practical exposure aligned with current industry requirements. Through continuous mentoring, internship opportunities, and placement-focused training, the programme aims to mould students into industry-ready professionals.

Programme Details

The focus areas of this programme are mathematical foundation, statistical and machine learning theories for analytics, engineering aspects of analysing huge volumes of data and application of analytics in functional areas.

Admission & Selection Process

Admission Process : The applicants must fill in complete information on the online application form and upload all required certificates (whatever is available) and photos.

Selection Process : The shortlisted candidates will be called for an interview. There are two rounds in the interview. Once the final interview is over, candidates have to pay their programme fee within 3 days and the mode of payment must be online. The dates of the interview will be communicated to the shortlisted candidates and will be announced on the website.

Eligibility

  1. Graduates who have studied mathematics/Basic mathematics/Business Mathematics or statistics or Computer Science as cognate subjects and secured 40% in the cognate subject and 50% marks in aggregate of all optional subjects at the degree level or BCA with Mathematics up to +2 or BE/BTech are eligible. Candidates appearing for the final semester undergraduate examinations in AprilMay 2026 may apply with the marks of all the previous semesters.
  2. General: Candidates who have passed the three-year Bachelor’s Degree examination of Bangalore University or any other University considered equivalent thereto by the Government of Karnataka, with the respective subject as optional/major/special/main subject, are eligible for admission to the programme provided they have secured a minimum of 50% marks in the aggregate of all the subjects (including English and Languages) and 40% marks in the cognate subject or major subject. Note: SC/ ST/ Category I candidates having 5% marks less than that mentioned above are also eligible to apply.
  3. Postgraduate applicants will have to indicate their cognate subject while entering the marks. For example, if a student is applying for MSc Chemistry, then the cognate subject is Chemistry in his/her BSc programme. There are some programmes that do not have a cognate subject such as MSW. In such cases, please indicate one of the best core subjects as a cognate subject

Fee Structure

Master of Science - M.Sc. Big 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 ₹1,75,000 ₹1,95,000 ₹2,35,000 ₹2,35,000 ₹2,75,000/US $3055
II Year ₹1,80,000 ₹2,00,000 ₹2,40,000 ₹2,40,000 ₹2,80,000/US $3111
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

Develop Analytical Competence
  • Equip students with the ability to analyze large, complex datasets using statistical and computational techniques.
Build Strong Foundations in Data Science
  • Provide in-depth knowledge of core areas such as data mining, machine learning, and predictive analytics.
Enhance Programming and Technical Skills
  • Train students in programming languages and tools such as Python, R, SQL, and big data frameworks.
Understand Big Data Technologies
  • Enable students to work with distributed systems and platforms like Hadoop, Spark, and cloud-based data solutions.
Promote Data-Driven Decision Making
  • Develop the ability to interpret data insights and support strategic and operational decisions in organizations.
Apply Machine Learning Techniques
  • Encourage the use of supervised and unsupervised learning methods to solve real-world problems
Strengthen Data Visualization Skills
  • Train students to effectively present data insights using visualization tools and dashboards.
Ensure Knowledge of Data Ethics and Governance
  • Instill awareness of data privacy, security, and ethical considerations in handling data.
Encourage Research and Innovation
  • Prepare students to undertake research, explore emerging trends, and contribute to advancements in big data analytics.
Prepare for Industry and Career Readiness
  • Equip students with practical skills, internships, and project experience to meet industry requirements and enhance employability.

Programme Outcomes

Will be updated soon..

    PO1:Domain Expertise & Applied Analytics
  • Apply advanced mathematical, statistical, machine-learning and deep learning methods to formulate, implement and evaluate data-driven solutions across various domains using tools and platforms.
    PO2:Big Data Engineering & Platforms
  • Design, build and manage scalable data pipelines and analytics solutions using contemporary big-data technologies and best data engineering practices.

Potential Career Options

Data Analyst:
  • Interprets structured and unstructured data to generate actionable insights using tools like SQL, Excel, and visualization platforms.
Data Scientist :
  • Builds predictive models and uses machine learning techniques to solve complex business problems.
Big Data Engineer :
  • Designs and manages large-scale data pipelines using frameworks such as Hadoop, Spark, and Kafka.
Machine Learning Engineer :
  • Develops, deploys, and optimizes machine learning models in production environments.
Business Intelligence (BI) Analyst / Developer
  • Creates dashboards, reports, and visualizations using tools like Power BI, Tableau, or Looker to support decision-making.
Data Architect :
  • Designs robust data systems, databases, and architectures for efficient data storage and retrieval..
AI Specialist :
  • Works on artificial intelligence applications including NLP, computer vision, and automation systems.
Quantitative Analyst (Quant) :
  • Applies statistical and mathematical models in finance, banking, and risk management domains.
Data Consultant :
  • Advises organizations on data strategy, analytics implementation, and optimization of data-driven processes..
Research Scientist / Academician :
  • Pursues research or teaching careers in data science, big data, and related interdisciplinary fields.
Cloud Data Engineer :
  • Works with cloud platforms (AWS, Azure, GCP) to build and manage scalable data solutions.
Operations Analyst / Product Analyst :
  • Uses data insights to improve business operations, customer experience, and product performance.
Cybersecurity/Data Privacy Analyst :
  • Focuses on data protection, governance, and compliance in data-driven organizations.
Marketing/Data Analytics Specialist :
  • Applies analytics in digital marketing, customer segmentation, and campaign optimization.
Entrepreneur / Startup Founder :
  • Leverages data analytics skills to build data-driven products or services.

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.

Frequently Asked Questions

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
  • Undergraduate Marks Cards and Convocation Certificate
  • Transfer Certificate from last qualified institution
  • Migration Certificate if the candidate is outside Karnataka state
  • 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)

Important Dates

Applicants will be informed as and when they are admitted- Eligible candidates will be called for interviews within 10 working days.

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