Newly admitted students can view the programme, venues, student groups and practical guidance on the dedicated induction page. Follow your official University communication for any candidate-specific instruction.
DUAT Phase II results are available in the admission portal, and allotment processing is in progress. Candidates should check the portal and their registered email regularly for allotment and further instructions.
All PhD selection stages, including DRAT-S and Interview, have been completed. Candidates should follow official email and portal updates for results and further instructions.
Find induction programme details, ongoing PG allotment updates, candidate next steps and PhD result status.
Study at Technopark Phase IV, Thiruvananthapuram, through project-based learning, internships and interdisciplinary academic training.
Start with the statement that matches your position. Each route leads directly to the relevant current information.
View the schedule, venues, student groups and practical information for 27–31 July 2026.
DUAT Phase II results are available and allotments are in progress. Check the portal and your registered email regularly.
Use the admission portal and complete the notified token-fee step within its deadline.
All PhD selection stages are complete. Results are awaited; follow official email and portal updates.
Browse the complete 2026 programme catalogue for programme descriptions, eligibility, fees and admission-route reference.
Eligibility: Three-year bachelor's or two-year master's degree with the prescribed score. CUET-PG 2026: Candidates with a valid CUET-PG 2026 score, including candidates who appeared for LAQP01 (English), may apply for MBA, subject to the published academic eligibility criteria and selection process. Elective pathways: Business Analytics, Digital Governance, Technology Management, Information Security Management, Digital Transformation, and related areas.
Eligibility: Graduates who also satisfy the work experience requirement. CUET-PG 2026: Candidates with a valid CUET-PG 2026 score, including candidates who appeared for LAQP01 (English), may apply for MBA, subject to the published academic eligibility criteria and selection process. Same broad elective structure as the regular MBA, adapted for working professionals.
Eligibility: Graduates who satisfy the published MBA admission requirements. CUET-PG 2026: Candidates with a valid CUET-PG 2026 score, including candidates who appeared for LAQP01 (English), may apply for MBA, subject to the published academic eligibility criteria and selection process. Focus: Procurement, operations, transportation, warehousing, distribution, supply chain analytics, sustainable logistics, and a capstone internship-thesis in the final semester.
Eligibility: A 3-year or 4-year Bachelor's degree in science, engineering, or mathematics with a minimum aggregate of 60% marks (or equivalent). Focus: Chip design, embedded architectures, AI hardware, neural processors, VLSI systems, and verification workflows.
Eligibility: A 3-year or 4-year Bachelor's degree in science, engineering, or mathematics with a minimum aggregate of 60% marks (or equivalent). Focus: Quantum and solid-state foundations, applied materials, characterisation, and computational materials studies.
Eligibility: Either a 3-year or 4-year Bachelor's degree with at least 60% marks or equivalent, with relaxation for reserved categories as per University norms. Specialisations: Environmental Data Science, Ecological Informatics, Sustainability Studies, and Environmental Communication.
Eligibility: Either a 3-year or 4-year Bachelor's degree with at least 60% marks or equivalent, with relaxation for reserved categories as per University norms. Focus: Ecology together with ecological informatics and technology-enabled environmental analysis.
Eligibility: Any 3-year / 6-semester Bachelor’s degree at NHEQF 5.5 level or any 4-year / 8-semester Bachelor’s degree at NHEQF 6.0 level, with at least 60% aggregate marks (or equivalent). Reservation relaxation as per applicable norms. Focus: A postgraduate programme focused on artificial intelligence, covering core computational methods, machine learning foundations, intelligent systems, and advanced AI applications.
Eligibility: Any 3-year / 6-semester Bachelor’s degree at NHEQF 5.5 level or any 4-year / 8-semester Bachelor’s degree at NHEQF 6.0 level, with at least 60% aggregate marks (or equivalent). Reservation relaxation as per applicable norms. Focus: A postgraduate programme focused on cyber security, including secure systems, network security, information assurance, and contemporary security practice.
Eligibility: Three-year or four-year bachelor's degree in Science, Engineering, or Mathematics with Mathematics or Statistics as one of the subjects. Focus: Data analytics, data mining, knowledge discovery, machine learning, and deep learning.
Eligibility: Applicants from Science, Engineering, Mathematics, Medicine, or Pharmacy backgrounds. Focus: Multi-omics, molecular sciences, drug design, and healthcare applications of Artificial Intelligence.
Eligibility: Science, Engineering, or Mathematics graduates with Mathematics or Statistics in their qualifying degree. Focus: Financial markets, risk management, derivative pricing, predictive analytics, and algorithmic trading.
Eligibility: Relevant Science, Engineering, or Mathematics graduates. Focus: Geospatial data, predictive analytics, urban planning, environmental monitoring, disaster response, and precision agriculture.
Eligibility: Science, Engineering, or Mathematics graduates with Mathematics or Statistics in their qualifying degree. Focus: Data science, machine learning, scientific simulation, and large-scale computational modelling.
Eligibility: Three-year or four-year bachelor's degree in Science or Engineering, with Mathematics or Statistics as one of the core subjects, and a minimum aggregate of 60% marks (or equivalent), with relaxation as per published norms. Details: See the official programme page for current details.
A one-year postgraduate pathway in cyber security with advanced study in secure systems, digital defence, and applied cyber practice.
A one-year postgraduate pathway in advanced artificial intelligence with emphasis on machine learning, intelligent systems, and applied AI workflows.
Focus: Net-zero pathways, circular economy, sustainability analytics, and life cycle assessment. Designed for eligible entrants under the notified one-year postgraduate framework.
Eligibility: (a) A 4-year Bachelor's degree in EE, ECE, AEI, EI, Robotics, or equivalent electronics hardware branches; or (b) a 3-year undergraduate degree followed by a 2-year postgraduate degree, or a 5-year integrated Master's degree, in Electronics, Instrumentation, or equivalent fields. Important: Applicants from CS, CSE, IT, and similar computing-focused branches are not eligible. Focus: AI hardware, VLSI systems, and advanced electronics engineering.
Eligibility: Any of the following with at least 60% aggregate marks: 4-year B.E. / B.Tech in Computer Science and Engineering, Information Technology, Electronics and Communication Engineering, or allied areas; 1-year or 2-year postgraduate degree such as MSc / MCA in Computer Applications, Computer Science, Information Technology, Mathematics, Statistics, Physics, or allied areas, with at least 60% aggregate marks (or equivalent); or 5-year integrated Master’s degree in allied areas. Focus: A specialised MTech programme in artificial intelligence, with advanced study in intelligent computation, machine learning systems, and applied AI.
Eligibility: Any of the following with at least 60% aggregate marks: 4-year B.E. / B.Tech in Computer Science and Engineering, Information Technology, Electronics and Communication Engineering, or allied areas; 1-year or 2-year postgraduate degree such as MSc / MCA in Computer Applications, Computer Science, Information Technology, Mathematics, Statistics, Physics, or allied areas, with at least 60% aggregate marks (or equivalent); or 5-year integrated Master’s degree in allied areas. Focus: A specialised MTech programme in cyber security engineering, with emphasis on secure computing, resilient systems, and advanced cyber defence.
* AICTE has approved a total of 90 seats for the School of Computer Science and Engineering MTech programmes. A common rank list may be prepared, and the intake of each programme may be adjusted accordingly.
Eligibility: For General category candidates, a 2-year or longer Master’s degree with 60% marks, or an MPhil degree with 60% coursework marks, in a discipline relevant to the school applied to. Eligible reserved categories require 55% marks. Additional fees: Selected candidates pay an initial admission fee of ₹10,000 and a refundable caution deposit of ₹5,000. A relaxation of 5% marks / equivalent grade applies for eligible reserved categories as per norms.
Eligibility: Same academic eligibility as the Full-time Regular PhD programme, plus at least 5 years of relevant full-time work experience after graduation. Additional fees: Selected candidates pay an initial admission fee of ₹10,000 and a refundable caution deposit of ₹5,000. A relaxation of 5% marks / equivalent grade applies for eligible reserved categories as per norms.
Eligibility: Same academic eligibility as the Full-time Regular PhD programme, plus at least 5 years of relevant full-time work experience after the Bachelor’s degree and full-time regular employment in industry. Additional fees: Selected candidates pay an initial admission fee of ₹10,000 and a refundable caution deposit of ₹5,000. A relaxation of 5% marks / equivalent grade applies for eligible reserved categories as per norms.
Did your qualifying degree include Mathematics or Statistics?
This helps identify MSc options whose published eligibility requires Mathematics or Statistics in the qualifying degree.
Is your most recent degree in Electronics, Instrumentation, or an equivalent field?
This helps distinguish the narrower published entry route for MTech Electronics Engineering (VLSI Design) – Specialization in AI Hardware.
Do you have at least 2 years of relevant work experience?
This distinguishes MBA (For Working Professionals) from the other MBA options.
No eligible programmes are surfaced for this selection on this page.
The guided check covers the 2026 catalogue.
A programme match is not an admission confirmation. Verify the exact marks, qualifying discipline and other requirements in the programme card and prospectus.
Admission routes are programme-specific. The programme card is the controlling reference for the route applicable to a candidate.
For MSc, MTech and MBA programmes, admission may be through DUAT, CUET-PG, GATE, CAT, CMAT, KMAT, XAT, NMAT, GRE, GMAT or other approved tests, depending on the programme.
PhD applications and all selection stages are complete. Results are awaited; the DRAT syllabus is retained for reference.
A postgraduate university focused on digital technologies, applied learning, research and social impact.
Selected recognitions and rankings that reflect DUK’s work in innovation, cybersecurity and institutional development.
Rated 4-star by the Institution’s Innovation Council, Ministry of Education, for innovation and entrepreneurship activities.
Through KSAAC, DUK is empanelled by CERT-In as an Information Security Auditing Organization.
KSAAC provides security auditing, consulting, training and related cybersecurity services.
Included in the Kerala Institutional Ranking Framework under the University category.
Students at DUK engage with a structured academic environment that combines coursework, projects, and guided opportunities for real-world exposure and professional development.
Paid R&D internship opportunities for eligible master’s students through university-led projects
EWYL detailsEligible students may receive tuition-fee support under university scholarship schemes
Scholarships and supportA dedicated Training and Placement Cell provides guidance, training, internships, and industry interaction
Placement CellDUK’s innovation and incubation ecosystem supports prototyping, mentorship, and early-stage innovation activities.
Innovation at DUKRegistered candidates should use the official portal for results, allotments, payments and other actions notified to them.
Digital University Kerala is a specialised institution established by the Government of Kerala for postgraduate and doctoral education, research, and innovation in digital technologies and interdisciplinary applications. Its academic structure brings together computing, data, electronics, management, environmental studies, and allied domains.
Located within Technopark, the University is connected to Kerala’s wider digital ecosystem and supports collaboration, applied learning, and interdisciplinary study with societal relevance.
For programme selection, eligibility, application process, fee payment and admission-related queries.
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