The Digital University of Kerala has commenced application process for MSc programs in the academic year 2021-2022. Select your school of choice to learn more about the courses.




No. of Seats : 45

The Machine Intelligence master's programme enables the students to design, implement and analyse intelligent systems. Intelligent decision making and learning, and intelligent web-based systems are areas of growing emphasis in the digital world. Machine learning algorithms can figure out how to perform important tasks by generalizing from examples. This is often feasible and cost-effective when manual programming is not. Machine learning (also known as data mining, pattern recognition and predictive analytics) is used widely in business, industry, science and government, and there is a great shortage of experts in it. The Course provides the necessary foundation in Machine Intelligence as well 5 as other core subjects for a graduate level computer science education. Computers are learning to think, read, and write. They’re also picking up human sensory function, with the ability to see and hear (arguably to touch, taste, and smell, though those have been of a lesser focus). Machine intelligence technologies cut across a vast array of problem types (from classification and clustering to natural language processing and computer vision) and methods (from support vector machines to deep belief networks). All of these technologies are reflected on this landscape.


No. of Seats : 45

The area of cyber security also known as computer security or IT security is security applied to computers, computer networks, and the data stored and transmitted over them. The field is of growing importance due to the increasing reliance of computer systems in most societies. Governments, military, corporations, financial institutions, hospitals and other businesses collect, process and store a great deal of confidential information on computers and transmit that data across networks to other computers. With the growing volume and sophistication of cyber-attacks, ongoing attention is required to protect sensitive business and personal information, as well as safeguard national security. Through MSc in Computer Science with specialization in Cyber Security we will be able to harness both students who would like to pursue traditional and non-innovative career choices like teaching and jobs in traditional government sectors as well as those who are open to challenging job options in corporate and allied sectors. The field of cyber security has grown very rapidly in recent years. The subject embraces technologies such as cryptography, network security, biometrics, machine learning, artificial intelligence, digital forensics, fraud detection, and penetration testing as well as management of security and trade-offs while implementing information security. The graduates of this programme can get hired as  Cryptography Engineer, Ethical Hacker, IT Auditor, Software Engineer, Security Engineer, Penetration and Vulnerability Tester, Security Analyst, Security Consultant,  etc. Further, graduates of this programme will be able to pursue PhD research in cyber security.





Two batches- (1) regular full-time mode and ( 2) flexible mode during evening hours or holidays suiting working professionals in and around Thiruvananthapuram.

SEATS : (Full Time Regular- 60 & Flexible -30)

Data analytics refers to the process of investigating datasets to conclude.  Data Analytics is one of the emerging areas of the IT industry and can be applied across disciplines ranging from science, technology, business or even arts. Big Data Analytics is a  phrase tossed recently to tackle sheer volume of data generated in the modern world. Data Science and Big Data Analytics combine statistical methods for inferring patterns from crude data; database technologies for storing and retrieval of data; intelligent technologies to extract knowledge and visualization for easy analysis and better understanding. Data analytics enables one to generate information and thereby knowledge from large quantities of incomprehensive data. The post graduate programme in data analytics is intended to offer hands-on training in data analytics, data mining and knowledge discovery methods using machine learning technologies and their application to practical problems.

The course aims at developing quality human resources in data analytics and with hands-on experience in machine learning and deep learning technologies  to cater the needs of government, industry and scientific organizations in the subject area. The course will also provide necessary training to develop professionals and leaders of high calibre imbued with values of  entrepreneurship, ethics and social responsibility.

No. of  Seats : 30

Geospatial analytics deals with spatio-temporal data and utilizes specialized methods & software to analyse, visualize & apply knowledge to spatial use cases. Private & public sector organizations are investing in Geospatial Technology to solve complex problems.

Advancements in geospatial analytics are rapidly transforming science, society and decision-making by helping us understand spatial aspects of environments, and communicating location-aware information among people and places. The power of spatial computing is seen everywhere. Industry uses geospatial analytics for building site-selection, mobile navigation, and asset tracking. Scientists use geospatial tools to track endangered species, predict infectious disease spread, monitor sea-level rise and understand global population dynamic


Any Science/Engineering graduate with Mathematics as one of the core or complementary subjects


graduate in Electronics / Information Technology/ Computer Science/ Computer Applications/ Technology with aggregate 60% marks or equivalent CGPA.

For MSc Computer Science with specialization in Data Analytics/Geospatial Analytics, Mathematics/ Statistics should be one of the core or complementary subjects. Students who have completed BVoc which has been equated to BSc in any of the mentioned areas and meet the percentage criteria can also apply.

Students are selected through an All India Digital University Aptitude Test (DUAT) followed by counselling. GATE score holders with a valid score as on 1st April 2021 are exempted from taking the entrance examination




No. of Seats : 30

The future of humanity on the Earth depends on our collective success to anticipate and ameliorate ecological challenges. Whether at a localised or planetary level, solutions to these challenges lie at the tri-junction of ecology, technology and society. Today’s ecological problems are increasingly complex and arriving at a solution involves analysing vast amounts of data. Ecological informatics helps to address these challenges by mastering the methods and developing the tools needed to distil information from data.

Ecological Informatics integrates ecology, computational science, informatics and social sciences, in order to improve our understanding of ecological processes. This pioneering academic program will teach ecology and impart computational and informatics skills to students with a background in natural and physical sciences.

Students will develop analytical, decision making, and data modelling skills that are critical for the job market and for pursuing research.


B.Sc. Degree in Botany/Zoology/Life Science/Chemistry/Physics/Ecology/Environmental Science/Geography/Geology/Microbiology/Plant or Animal Science/Agriculture/Forestry/Horticulture/ Biotechnology and allied areas


B.Tech/BE in Civil, Mechanical, Chemical, Environmental, Agricultural and allied disciplines with 60% marks.

DUAT qualified in subject specific to Ecology or Valid GATE score in  Ecology and Evolution/Environmental Science and Engg/ Agriculture Engineering/Civil Engineering/Mechanical Engineering

Entry-level requirement is a minimum score of 60 percentage marks OR CPI/CGPA of 6.5 or above in 10 points in the qualifying degree. A candidate with CGPA less than 6.5 will also be eligible if the equivalent percentage for graduation is above 60% as per the respective university norms for conversion from CGPA to percentage. In such a case, the candidate will have to produce the official document or percentage equivalence certificate from the respective university showing CGPA to percentage conversion norms, at the time of admission. Students who have scored less than 60% in their graduation degree are not eligible for admission to the courses of DUK. Candidates belonging to SC/ST and Divyangjan categories are eligible for applying if they have minimum pass marks in the qualifying examination. SEBC candidates of Kerala State who are certified as belonging to non-creamy layer are eligible for 5% relaxation in the minimum required marks for qualifying examination, provided that the candidates have passed the examination.

Candidates who have appeared or are appearing for the final year/semester examination may also apply for the PG Programs provided that they satisfy the following two conditions

  • Condition 1 ‐ That they have appeared/ are appearing for the final year/semester exam in full and for the first time
  • Condition 2 ‐ That they have passed all examinations prior to the final year /semester.

In other words, applicants to undergraduate programmes who are appearing for compartmental/improvement/supplementary examinations are not eligible for this privilege.

Selected students for the PG programs are expected to submit all the original documents of marklists, degree/provisional degree certificates, migration certificate,etc. by 31st January 2022. In case any of the candidates fail to submit the original certificates as proof of their eligibility by this date, the University may be forced to ask the students to discontinue the course.

MSc Computer Science with specialization in Cyber Security and MSc Computer Science with specialization in Machine Intelligence require the students to have strong foundations in Mathematics at the undergraduate level. Hence, it is recommended that the students of Cyber Security and Machine Intelligence specializations to have studied Mathematics during the +2/pre-university also.


  • Online application will be open on:  25th July 2021
  • Deadline for submission of applications: August 28, 2021
  • Date of DUAT examination: September 05, 2021 (Sunday)
  • Announcement of DUAT results: September 14, 2021
  • Dates of admission interview: September 13-18, 2021
  • Announcement of admission results: September 21, 2021
  • Commencement of classes: October 6, 2021


Mob No. 8078193800
Landline: +91-471-2788019
Email : admission-pg@duk.ac.in

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