Digital University Kerala 2025-26: Admission, Courses, Fees, Eligibility etc.

The (Digital University Kerala) is the Indian Institute of Information Technology and Management Kerala (IIITM-K) was set up in 2000 by the Kerala government as an important and independent institute. On January 18, 2020, the Kerala government decided to upgrade IIITM-K to a university through Ordinance No. 9 of 2020. This led to the formation of the Kerala University of Digital Sciences, Innovation, and Technology (KUDSIT). The university was officially established with the Kerala University of Digital Sciences, Innovation and Technology Act, 2021 (Act 10 of 2021).

Throughout this article, you will get all the information about Digital University Kerala like courses offered, facilities, eligibility criteria etc.

Highlights

The below table shows the important highlights of the Digital University Kerala, Let’s have a look.

ParticularsDetails
NameDigital University Kerala
LocationThiruvananthapuram, Kerala
University TypeState University
Establishment2020
AffiliationCochin University of Science and Technology 
Entrance ExamCUET PG
Hostel FacilitiesYes
Official websitehttps://duk.ac.in/

Facilities

These are some facilities offered by the Digital University Kerala to their students who are interested in studying or already studying at this university.

Central FacilitiesMedical
Computer CentreClassrooms
Central LibraryLaboratories
Sports SectionWi-Fi
Institute Management SystemHostel

Courses Offered

Digital University Kerala offers many PG courses to students. Check the list of courses mentioned below. Let’s have a look.

Courses Duration Intake
M.Tech. (AICTE Approved) Computer Science
and Engineering
2 Year90
MSc. Computer Science with specialization in Cybersecurity2 Year90
MSc. Computer Science with specialization in Machine Intelligence2 Year45
MSc. Computer Science with specialization in Data Analytics2 Year60
MSc. Data Analytics & Bio-AI2 Year30
MSc. Data Analytics & Computational Science2 Year50
MSc. Data Analytics & Geoinformatics2 Year30
M.Tech. (AICTE Approved) Electronics Engineering2 Year60
M.Tech. Electronic Product Design2 Year15
MSc. Electronics2 Year60
MSc. Applied Physics2 Year20
MBA (AICTE Approved)2 Year60
MBA for working professionals (AICTE Approved)2 Year30
MSc. Ecology with specialization in Ecological Informatics2 Year30
MSc. Informatics (Master’s Program in Digital Leadership and Transformation)2 Year30
Postgraduate Diploma in MRITECH (Magnetic Resonance Imaging Technology)1 Year
PhD (Full time regular, Part time regular, Industry regular)1 Year40

Admission Process

We have mentioned the admission procedure to get admission to the Digital University Kerala. Check the procedure listed below.

M.Sc. and MBA:

Applicants for both Master of Science (M.Sc.) and Master of Business Administration (MBA)
programs must take one of the following entrance exams:

  • Digital University Admission Test (DUAT-2024) conducted by Digital University Kerala.
  • Central Universities Entrance Test (CUET(PG)-2024) conducted by NTA for admission to various postgraduate programs.

M. Tech.:

Admission to M. Tech. programs may involve two options:

  1. National Level Exams: Applicants can take either the CUET(PG)-2024 exam or the Graduate Aptitude Test in Engineering (GATE) exam.
  2. School-Specific Admission Procedure: MTech. programs at Digital University Kerala have school-specific admission procedures as well.

MBA (Alternative Option):

For MBA programs only, applicants with a valid score in one of the following national-level
management entrance exams can also be considered for admission:

  • CAT (Common Admission Test) conducted by IIMs
  • GRE (Graduate Record Examinations)
  • CMAT (Central Management Admission Test)
  • KMAT (Kerala Management Aptitude Test)
  • XAT (Xavier Aptitude Test)
  • NMAT by GMAC (Graduate Management Admission Council) / GMAT

Applicants who qualify through these exams will be shortlisted for a group discussion followed
by an interview.

Ph.D.:

A valid NET score is required for consideration. However, candidates who have not successfully
cleared NET are encouraged to partake in the Digital University Research Aptitude Test (DRAT)- The scheduling for DRAT will depend on the availability of PhD vacancies.

Eligibility Criteria

To be eligible for admission into the university’s programs candidates need to meet the eligibility criteria set by the Digital University Kerala. We have listed the eligibility criteria in the table below.

PG/Phd. Courses Eligibility

Courses Eligibility Criteria
M.Tech. (AICTE Approved)B.Tech or BE in CS/IT/ECE or related fields OR MCA OR M.Sc in CS/IT/Mathematics/Statistics/Physics with 60% aggregate marks or above (relaxation as per university norms).
MSc. Computer Science with specialization in CybersecurityB.Tech/BE in any branch OR B.Sc with Mathematics as a core or complementary subject OR BA Mathematics OR BCA with 60% aggregate marks or above (relaxation as per university norms).
MSc. Computer Science with specialization in Machine IntelligenceB.Tech/BE in any branch OR B.Sc with Mathematics as a core or complementary subject OR BA Mathematics OR BCA with 60% aggregate marks or above (relaxation as per university norms).
MSc. Computer Science with specialization in Data AnalyticsScience/Engineering/Mathematics graduate with Mathematics/Statistics as one of the core/complementary subjects with 60% aggregate marks or above (relaxation as per university norms).
MSc. Data Analytics & Bio-AIAny Science/Engineering graduate, including BSc in Botany/Zoology/Biosciences/ Microbiology/Biotechnology, BTech in Biomedical Engineering/BioTechnology, MBBS, with aggregate 60% marks or above. Relaxation in marks to reserved candidates as per university
norms.
MSc. Data Analytics & Computational ScienceScience/Engineering/Mathematics graduate with Mathematics/Statistics as a core/complementary subject with 60% aggregate marks or above (relaxation as per university norms).
MSc. Data Analytics & GeoinformaticsBSc in Geology/Geography/Computer Science/IT/Environmental Science/Agricultural Science OR BTech in Civil/Computer Engineering with 60% aggregate marks or above (relaxation as per university norms).
M.Tech. (AICTE Approved) Electronics EngineeringB.Tech/BE in EE/ECE/AEI/EI/Robotics/IoT or similar branches OR MSc in Electronics/Instrumentation with 60% aggregate marks or above (CS/CSE/IT not eligible; relaxation as per university norms).
M.Tech. Electronic Product DesignAny B.Tech or MSc degree with 60% aggregate marks or above (relaxation as per university norms).
MSc. ElectronicsAny branch of B.Sc/B.Tech/BCA/MBBS with 60% aggregate marks or above (relaxation as per university norms).
MSc. Applied PhysicsAny branch of B.Sc/B.Tech/BCA/MBBS with 60% aggregate marks or above (relaxation as per university norms).
MBA (AICTE Approved)Bachelor’s degree in any field with 60% aggregate marks or above (relaxation as per university norms).
MBA for working professionals (AICTE Approved)Bachelor’s degree in any field with 60% aggregate marks or above and minimum 2 years of work experience (relaxation as per university norms).
MSc. Ecology with specialization in Ecological InformaticsB.Sc. Degree in Botany/Zoology/Life Science/Chemistry /Physics /Mathematics /Statistics/Ecology /Environmental Science /Geography /Geology /Microbiology /Plant Science /Animal Science /Agriculture /Forestry /Horticulture / Biotechnology and allied areas OR B.Tech/BE in
Civil, Mechanical, Chemical, Environmental, Agricultural Engineering and allied disciplines with aggregate 60% marks or above. Relaxation in
marks to reserved candidates as per University norms.
MSc. Informatics (Master’s Program in Digital Leadership and Transformation)Bachelor’s degree in any field with 60% aggregate marks or above (relaxation as per university norms).
Postgraduate Diploma in MRITECH (Magnetic Resonance Imaging Technology)Students who have completed the Bachelors degree, or currently in the final semester and completing all requirements for the degree by end of June 2024 in any branch of Engineering or Masters degree in Mathematics, Statistics, Physics, Computer/Data Science, Medical Imaging Technology or related fields from a UGC recognized University are eligible to apply. Minimum score of 60 percentage marks OR CPI/CGPA of 6.5 or above in 10 points in the qualifying degree is required.
PhD (Full time regular, Part time regular, Industry regular)2-year Master’s or M.Phil degree with 60% marks in relevant discipline (55% for reserved categories). Final year students may apply with minimum required marks; part-time and Industry PhD applicants need full-time jobs and 5 years of work experience after a Bachelor’s degree.

Fee Structure

This section will provide detailed information about the Digital University Kerala Fee Structure for the courses by the university. Let’s have a look.

Courses Tuition Fees First Semester
MTech/MSc Programs55,000
MBA Program1,00,000
Ph.D. Programme (Part-time Regular
Ph.D)
Rs. 50,000/year
Industry Regular Ph.DRs. 50,000/year

DUAT-2024 Syllabus

Below in this section is Provided Digital University Kerala Programmes Syllabus.

Programme: MSc Informatics, Master of Business Administration

Question typeSyllabus
General Aptitude (20 Marks)Verbal Aptitude: Basic English grammar (tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech). Basic vocabulary (words, idioms, phrases in context), narrative sequencing.
Quantitative Aptitude: Data interpretation (data graphs like bar graphs, pie charts, 2D and 3D plots, maps, tables), numerical computation (ratios, percentages, powers, exponents, logarithms, permutations, combinations, series, mensuration, geometry).

Analytical Aptitude: Logic (deduction, induction, analogy, numerical relations, reasoning).

Spatial Aptitude: Transformation of shapes (translation, rotation, scaling, mirroring, assembling, grouping, paper folding, cutting, 2D and 3D patterns).
Mathematics (20 Marks)
Topics include probability, statistics, calculus, discrete mathematics, basic number theory, and algebra.
English Reading Comprehension (20 Marks)
Two paragraphs, each containing 5-10 questions.

Programme: MSc Computer Science with Data Analytics; MSc Data Analytics and Computational Science

Question typeSyllabus
General Aptitude (20 Marks)Verbal Aptitude: Basic English grammar (tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, and other parts of speech). Basic vocabulary (words, idioms, and phrases in context), narrative sequencing.
Quantitative Aptitude: Data interpretation (data graphs, 2D and 3D plots, maps, tables), numerical computation (ratios, percentages, powers, exponents, logarithms, permutations, combinations, series, mensuration, geometry).
Analytical Aptitude: Logic (deduction, induction, analogy, numerical relations, reasoning).
Spatial Aptitude: Transformation of shapes (translation, rotation, scaling, mirroring, assembling, grouping, paper folding, cutting, 2D and 3D patterns).
Basic Mathematics (30 Marks)Set Theory: Union, intersection, cardinality, elementary counting, permutations, and combinations.
Probability and Statistics: Basic probability concepts, averages, dependent/independent events, frequency distributions, measures of central tendencies/dispersion.
Algebra: Fundamental operations, expansions, factorization, simultaneous equations, indices, logarithms, progressions, determinants, matrices.
Coordinate Geometry: Cartesian coordinates, distance formula, equations of lines, intersection of lines, circles, parabolas, ellipses, hyperbolas.
Calculus: Limits, continuity, differentiation, tangents, maxima/minima, integration techniques, definite integrals, applications to areas.
Vectors: Position vectors, vector operations, scalar and vector products, applications in geometry/mechanics.
Trigonometry: Identities, equations, properties of triangles, solutions of triangles, heights/distances, general solutions of trigonometric equations.
BSc Level Questions (10 Marks)Computer Basics: Organization of a computer, CPU structure, input/output devices, computer memory, back-up devices.
Data Representation: Character/integer/fraction representation, binary/hexadecimal representations, binary arithmetic (addition, subtraction, multiplication, division), two’s complement, floating-point numbers, Boolean algebra, truth tables, Venn diagrams.

Programme: MSc Ecology with Specialization in Ecological Informatics

Question Type Syllabus
General Aptitude (20 Marks)Verbal Aptitude: Basic English grammar (tenses, articles, adjectives, prepositions, conjunctions, verb-noun agreement, other parts of speech), basic vocabulary (words, idioms, phrases in context), narrative sequencing.
Quantitative Aptitude: Data interpretation (bar graphs, pie charts, data plots), numerical computation (ratios, percentages, exponents, logarithms, series, mensuration, geometry).
Analytical Aptitude: Logic (deduction, induction, analogy, reasoning).
Spatial Aptitude: Shape transformation (translation, rotation, scaling, mirroring, grouping, paper folding, cutting, 2D/3D patterns).
Mathematics (20 Marks)Probability, statistics, calculus, discrete mathematics, basic number theory, algebra.
English Reading Comprehension (20 Marks)Two paragraphs with 5-10 questions each.

Placement Highlights

Check the key highlights of the Digital University Kerala placements 2024 from the table below:

  • 100% internship record as industry/academic internship is mandatory at DUK.
  • Internships often lead to recruitment as companies hire high performing interns.
  • Internship-cum-placement along with the campus recruitment by visiting companies grants DUK an impressive placement record of over 95%.
  • Progressive Placement and other Industry Institute Interactions (III) are underway.

Top Recruiters

These are some top companies that visit in Digital University Kerala for placement.

Digital University Kerala: Top Recruiters
TCSAllianz
Innovation IncubatorTATA ELSXI
NokiaInfosys
Livares TechnologiesCaterPillar

Contact Details

Digital University Kerala
Address: Technocity Campus Mangalapuram Thonnakkal P.O, Kerala 695317

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Note: The information provided here is gathered from various sources, and there may be discrepancies between the data presented and the actual information. If you identify any errors, please notify us via email at [mail[@]edufever.com] for review and correction.

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