B.Sc. (Hons.) in Computer Science (specialisation in Cloud Computing and Big Data)

The Bachelor of Science in Computer Science with specialization in Cloud Computing & Big Data programme is designed keeping in view the current situation and possible future developments, both at national and global levels. This programme is designed to give greater emphasis on Cloud Computing and Big Data analytics. This programme on Cloud computing & Big Data will teach both the fundamental concepts of how Cloud systems works, as well as Cloud technologies such as Amazon AWS, Microsoft Azure, and Open Stack. Students will learn concepts of virtualization, private & public clouds. They will also become proficient in "Big Data” on various platforms. Besides a hands-on project, this program will include knowledge transfer by Industry experts. The lab sessions cover cloud application development and deployment, use of cloud storage, creation and configuration of virtual machines. It also covers data analysis on cloud using data mining tools. A variety of activities such as mini projects, seminars, interaction with industries, cultural activities and social activities are in place to shape the all-round development of students. There is a dearth for cloud engineers, data scientists, data analysts, cloud architects. This programme aims in fulfilling the demand by sending graduates equipped for the industry.

The School of Computer Science and Applications at REVA UNIVERSITY is offering BSc (Honors) in Computer Science (with specialization in Cloud Computing & Big Data) programme as a three year undergraduate degree programme to create motivated, enthusiastic, thinking and creative graduates to fill the roles as computer algorithm developers, computer programmers, computer application developers, professors, scientists, professionals and administrators. 
BSc (Honors) in Computer Science (with specialization in Cloud Computing & Big Data) has been designed and developed by industry experts. The cloud related subjects are handled by corporate trainers and it is in par with the industry standards. 

The curriculum is outcome based and it imbibes required theoretical concepts and practical skills in the domain. By undergoing this programme, students develop critical, analytical thinking and problem solving abilities for a smooth transition from academic to real-life work environment. In addition, students are trained in communication skills and interdisciplinary topics to enhance their scope. The above mentioned features of the programme, advanced teaching and learning resources, and experience of the faculty members with their strong connections with industry and research organizations makes this programme unique.



Course Curriculum

Course Curriculum

Program Educational Objectives (PEOs)

Program Educational Objectives (PEOs)

The programme acts as a foundation degree and helps to develop critical, analytical and problem solving skills at first level. The foundation degree makes the graduates employable in IT industries related to cloud technologies, scientific organisations and also to assume administrative positions in various types of organisations.  With further acquisition of higher level degrees help the graduates to pursue a career in academics or scientific organisations as a researcher. 

The Programme Educational Objectives are to prepare the students to:

  • Be cloud engineers , data analysts, data scientists and cloud architects
  • Be computer Application Developers, Algorithm developers, Computer Programmers
  • Operate various cloud related commercial software tools to solve scientific and business problems
  • Work alongside engineering, medical, ICT professionals and  scientists to assist them in setting up a cloud in their area of domain
  • Act as administrators in public, private and government organizations with further training and education
  • Acquire higher degrees to work in colleges, universities as professors or as scientists in research establishments or business administrators
  • Understand environmental, legal, cultural, social, ethical, public safety issues
  • Work as a member of a team and communicate effectively across team members
  • Adopt lifelong learning philosophy for continuous improvement
  • Set his/her own enterprise with further training

Programme Outcomes (POs)

Program Outcomes (POs)

After undergoing this programme, a student will be able to:

  • Design cloud-based Solutions/Architecture
  • Develop and deploy cloud application using popular cloud platforms
  • Build private cloud, Public Cloud & Hybrid Cloud
  • Design and develop highly scalable cloud-based applications by creating and configuring virtual machines on the cloud
  • Perform big data analysis in cloud
  • Perform various functional roles during the development of commercially viable, robust and reliable software related to cloud technology.
  • Work as a member of a scientific project team and communicate across teams
  • Conduct himself as a responsible citizen 
  • Choose appropriate online programmes for further learning, participate in seminars and conferences

Career Opportunities

Career Opportunities

Students after successful completion of Bachelor of Science with specialisation in Cloud Computing & Big Data program can join various companies and multi-national companies as software developers, data scientists, data analysts, front-end developer, back-end developer, big data developer, information security analyst, etc.

Information security analyst

Software Engineer

Data Analyst

Data Scientist

Back-end developer

Big data developer

Cloud Computing & Big Data program

Front-end developer

Eligibility Criteria

Eligibility Criteria

B.Sc. (Hons.) in Computer Science (specialisation in Cloud Computing & Big Data)

Qualification: Pass in PUC / 10+2 or any other equivalent examination with Physics and Mathematics as compulsory subjects along with Chemistry / Biotechnology / Biology / Computer Science / Electronics / Technical Vocational as one of the subjects. A minimum of 45% marks in aggregate (40% in case of candidates belonging to SC/ST category) in the above subjects is mandatory. The qualifying examination passed should be from any recognised boards of respective State Government / Central Government / Union Territories.


How to Apply?


Rukmini Knowledge Park, Kattigenahalli, Yelahanka, Bangalore - 560064, Karnataka, India

+91-080-46966966 +91 95388 74444/45

Application Fee

B.Sc. (Hons.) in Computer Science (specialisation in Cloud Computing and Big Data)

Indian / SAARC Nationals 500
NRI Fee 1000
Foreign Nationals 50