Fee information
Programme-wise tuition fees are shown above in the Programme Finder. Application fee differs by route/programme where applicable. Caution/security deposit, if any, is refunded separately as applicable.
Study through projects, internships, and interdisciplinary learning in emerging technology areas.
Located at Technopark Phase IV, Thiruvananthapuram
Application deadline: 17 May 2026
Check eligibility and programme details before applying.
Browse the full programme catalogue, or use the guide to find the most suitable option for you. Select a programme to view eligibility, fees, admission tests, and details. Guided recommendations are indicative and should be read with the published programme eligibility.
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. 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. 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.
Detailed programme page will be updated. Please contact the admissions team for current details.
Eligibility: A 3-year or 4-year Bachelor's degree in science, engineering, or mathematics with a minimum aggregate of 60% marks. Focus: Chip design, embedded architectures, AI hardware, neural processors, 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. Focus: Quantum and solid-state foundations, applied materials, characterisation, and computational materials studies.
Eligibility: Three-year or four-year degrees in Science, Engineering, Arts, or Humanities with prescribed marks. Focus: Ecology together with ecological informatics and technology-enabled environmental analysis.
Eligibility: Published eligibility and pathway-specific admission routes are notified separately for each specialisation. Specialisations: Environmental Data Science, Ecological Informatics, Sustainability Studies, and Environmental Communication.
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: 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 at Level 6.5 in NCRF; 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 at Level 6.5 in NCRF; 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.
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: VLSI design and advanced electronics engineering.
* 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: Three-year bachelor's or two-year master's degree with the prescribed score. 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. Same broad elective structure as the regular MBA, adapted for working professionals.
Eligibility: Graduates who satisfy the published MBA admission requirements. Focus: Procurement, operations, transportation, warehousing, distribution, supply chain analytics, sustainable logistics, and a capstone internship-thesis in the final semester.
Eligibility: A relevant two-year or longer master's degree or MPhil with the prescribed marks, subject to applicable relaxations. Part-time and Industry Regular applicants additionally need a full-time job with at least 5 years of relevant full-time work experience after the bachelor's degree. Industry Regular applicants should be full-time industry employees at the time of application and provide a mentor letter for the identified industry research lab. Additional fees: Selected candidates pay an initial admission fee of ₹10,000 and a refundable caution deposit of ₹5,000. School-wise research areas, coursework structure, and dissertation requirements are clearly differentiated across doctoral modes.
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).
No specific best-fit programmes are highlighted for this selection on this page.
No additional closely related options are highlighted for this selection on this page.
No broader options are surfaced for this selection on this page.
You can browse the complete programme catalogue in the “All Programmes” tab.
Admissions are based on accepted national-level tests or Digital University Kerala entrance processes, as applicable. Please check programme details for specific requirements.
Digital University Kerala brings together advanced study, interdisciplinary academic structures, student support, and a public-university environment for postgraduate and doctoral education in emerging digital and applied fields.
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 DUKApplications for 2026–27 are open. Follow the four steps below to complete your admission process.
Use the Programme Finder above to shortlist the right option based on your background, area of interest, and published admission route.
Browse programmesConfirm the published eligibility criteria and the applicable admission route — GATE, CUET-PG, DUAT, or the management entrance routes — for your chosen programme.
Register on the DUK admissions portal, complete your profile, and upload mark sheets, certificates, and any other supporting documents required.
Go to application portalPay the prescribed application fee, submit the form, and proceed with the next stage applicable to your selected programme.
Submit applicationProgramme-wise tuition fees are shown above in the Programme Finder. Application fee differs by route/programme where applicable. Caution/security deposit, if any, is refunded separately as applicable.
Refunds will be processed in accordance with applicable UGC fee-refund guidelines. Please refer to the relevant admission notification or prospectus for full details.
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.
Located within Technopark, the campus is part of a live technology ecosystem that connects academic study with industry and innovation.
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