Content Curator | Updated on - Mar 31, 2026

M.Sc Applied Statistics and Data Analytics at Kristu Jayanti University, Bangalore is a 2-year full-time postgraduate programme offered under the School of Computational and Physical Sciences. The course is designed to equip students with advanced skills in statistical modelling, data analysis, machine learning, and business analytics, bridging the gap between traditional statistics and modern data science. With the exponential growth of data-driven industries, this programme is increasingly popular among graduates from statistics, mathematics, computer science, and economics backgrounds. The total course fee is INR 2.05 Lakhs for the 2-year duration, making it one of the more affordable data analytics programmes at a NAAC A++ accredited university in Bangalore.

Admissions for the 2026-27 batch are currently open. The university has been conducting rolling counselling rounds since December 2025. Students are advised to apply at the earliest as seats are limited and filled on a merit-cum-interview basis.

Key Points

Interdisciplinary programme combining statistics, data science, and analytics
Covers statistical modelling, machine learning, data visualisation, and business analytics
Offered under the School of Computational and Physical Sciences at NAAC A++ accredited KJU
Highly relevant for careers in data analytics, business intelligence, and research
Eligible candidates include graduates from Statistics, Mathematics, Computer Science, Data Science, Economics, and Engineering

Official Link:

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Highlights
Fees
Admission
Scholarships
Ranking
FAQs

Kristu Jayanti University (Deemed to be University) Latest Updates and News

21 Jan, 2026 Kristu Jayanti University (Deemed to be University) Fee Structure 2026 is out for M.Sc Applied Statistics & Data Analytics programs. The total academic fee is ₹ 2.05 Lakhs. Check details.

KJU M.Sc ASDA Fees

The total fee for M.Sc Applied Statistics and Data Analytics at Kristu Jayanti University is INR 2.05 Lakhs for the 2-year programme. The fee is payable annually, with Year 1 being slightly higher due to the one-time non-refundable admission registration fee of INR 5,000. At approximately INR 1 Lakh per year, this programme offers excellent value for a specialised data analytics postgraduate degree at a NAAC A++ deemed university in Bangalore.

Fee Breakdown

Fee Component	Year 1 (INR)	Year 2 (INR)	Total (INR)
Tuition Fee	1,00,000	1,00,000	2,00,000
Admission Registration Fee	5,000	-	5,000
Total Fees	1,05,000	1,00,000	2,05,000

Hostel Fees (Optional)

Category	Fee Per Year (INR)
Boys Hostel	57,000 - 1,20,000
Girls Hostel	57,000 - 1,36,000

Admission Registration Fee of INR 5,000 is non-refundable.
Students from Karnataka (other than Karnataka Board/University) are required to pay an additional INR 10,000.
Students from other states or international boards are required to pay an additional INR 20,000.
NRI students are required to pay an additional INR 40,000.
Hostel is optional and not included in the Total Fees above.
Examination fees are charged separately each semester (approximately INR 2,500-3,900 per semester).
EMI or instalment payment options may be available; students are advised to confirm with the admissions office.

KJU M.Sc ASDA Admission 2026-27

Admissions to M.Sc Applied Statistics and Data Analytics at Kristu Jayanti University for 2026-27 are currently open. The selection process involves merit-based counselling followed by an aptitude test and personal interview conducted via Zoom. Applications are accepted online through the official university portal with a non-refundable application fee of INR 1,200 for PG programmes.

College Admission Dates

Event	Date
Admission Counselling Opens	December 20, 2025
Online Application Portal Open	December 24, 2025 (Ongoing)
Counselling and Interview (Session 2026-27)	March 20, 2026 (Conducted)
Next Counselling Round	Rolling basis (ongoing)
Tentative Batch Commencement	July 2026

Entrance Exam Dates

Exam	Event	Date
IIT JAM 2026	Exam Date	February 15, 2026
IIT JAM 2026	Result	March 20, 2026
CUET-PG 2026	Exam Date	March 6 - March 27, 2026
CUET-PG 2026	Result	May 6, 2026

Note: Kristu Jayanti University conducts its own aptitude test and personal interview for M.Sc admissions. IIT JAM and CUET-PG scores are not mandatory for admission to KJU. The university's own screening test is the primary selection criterion.

The dates mentioned above are tentative and subject to change.

Eligibility Criteria:

Candidates must have completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Engineering, or any relevant discipline from a recognised university with an aggregate of 50% marks
45% aggregate is applicable for SC/ST candidates
Candidates with a strong quantitative background are preferred

Admission Process:

Register on the official portal at kristujayanti.edu.in and pay the application fee of INR 1,200
Fill and submit the online application form with required documents
Participate in merit-based counselling based on graduation marks
Appear for the Aptitude Test (online/Zoom) covering subject knowledge and quantitative aptitude
Attend the Personal Interview (online/Zoom) for final selection
Submit documents for verification and pay the first-year fee to confirm admission

KJU M.Sc ASDA Scholarships 2026-27

Kristu Jayanti University offers a range of institutional scholarships to support meritorious and economically weaker students. These scholarships are available to all M.Sc students including those enrolled in the Applied Statistics and Data Analytics programme. The scholarships are awarded based on academic performance, attendance, and socio-economic background.

Scholarship Details

Scholarship	Eligibility Criteria	Amount
Jayantian Achievement Scholarship (JAS)	Minimum 85% attendance; 75% aggregate in CIA and End Semester Exams	Merit-based (varies)
Jayantian Talent Scholarship (JTS)	Minimum 80% attendance; 60% aggregate in CIA and End Semester Exams; winner of at least one prize in co-curricular/extra-curricular activities at University/State/National level	INR 10,000
Jayantian Upliftment Scholarship (JUS)	Minimum 80% attendance; 60% aggregate in CIA and End Semester Exams; annual family income of INR 1 Lakh or less	50% of Tuition Fee
Attendance Scholarship	Based on attendance and marks	INR 10,000

Scholarships are awarded on a yearly basis and are subject to renewal based on continued eligibility.
Students must apply separately for each scholarship through the university's scholarship portal.
Income certificate is mandatory for the Jayantian Upliftment Scholarship (JUS).
Government scholarships such as SC/ST Post-Matric Scholarship and Karnataka Rajyotsava Scholarship are also applicable for eligible students.
Students are advised to check the official scholarship page at kristujayanti.edu.in/student_services/scholarship.php for updated deadlines and application links.

Kristu Jayanti University (Deemed to be University) M.Sc Applied Statistics & Data Analytics Ranking

Collegedunia Ranking

#50 out of 277 in India 2025

#4th in Bangalore

#4 in Karnataka

Indiatoday Ranking

#26 out of 217 in India 2025

#4th in Bangalore

#4 in Karnataka

The Week Ranking

#18 out of 100 in India 2025

#4th in Bangalore

#4 in Karnataka

TOI Ranking

#11 out of 70 in India 2025

#4th in Bangalore

#4 in Karnataka

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KJU M.Sc ASDA FAQs

Ques. What is the difference between M.Sc Applied Statistics and Data Analytics and M.Sc Data Science at Kristu Jayanti University?

Ans. M.Sc Applied Statistics and Data Analytics focuses on statistical theory, probability, and applied analytics with a strong mathematical foundation, making it ideal for students from statistics and mathematics backgrounds. M.Sc Data Science is more technology-oriented, covering programming, machine learning, and big data tools. Students with a strong quantitative background should opt for Applied Statistics, while those with a computer science background may prefer Data Science.

Ques. What career options are available after M.Sc Applied Statistics and Data Analytics from KJU?

Ans. Graduates can pursue careers as Data Analysts, Business Intelligence Analysts, Statistical Analysts, Market Research Analysts, and Quantitative Researchers. Employers include IT companies, banks, financial institutions, consulting firms, research organisations, and government statistical departments. The growing demand for data professionals across industries makes this a highly employable programme.

Ques. Is a mathematics background mandatory for M.Sc Applied Statistics and Data Analytics at KJU?

Ans. While a strong quantitative background is preferred, the programme accepts graduates from Statistics, Mathematics, Computer Science, Data Science, Economics, and Engineering. Candidates from other backgrounds with relevant quantitative skills may also be considered. It is advisable to contact the admissions office for specific eligibility queries.

Ques. What is the total fee for M.Sc Applied Statistics and Data Analytics at Kristu Jayanti University?

Ans. The total fee for the 2-year programme is INR 2.05 Lakhs, which includes tuition fees of INR 2 Lakhs and a one-time non-refundable admission registration fee of INR 5,000. This makes it one of the most affordable data analytics postgraduate programmes at a NAAC A++ accredited university in Bangalore.

Ques. Does Kristu Jayanti University offer any scholarships for M.Sc Applied Statistics and Data Analytics students?

Ans. Yes, KJU offers several institutional scholarships including the Jayantian Achievement Scholarship (JAS), Jayantian Talent Scholarship (JTS), and Jayantian Upliftment Scholarship (JUS). The JUS provides 50% of tuition fee waiver for students from economically weaker sections. Government scholarships for SC/ST and other eligible categories are also applicable.

Ques. Can an Economics graduate apply for M.Sc Applied Statistics and Data Analytics at KJU?

Ans. Yes, Economics graduates are eligible to apply for this programme, provided they have a minimum of 50% aggregate marks. The programme is designed to accommodate students from diverse quantitative backgrounds including Statistics, Mathematics, Computer Science, Data Science, Economics, and Engineering. Economics graduates with a strong foundation in statistics and quantitative methods are well-suited for this programme.