programme overview

We deliver applied undergraduate Bachelors Engineering Degrees CLaaS with an international work-study journey for incubating GLOCAL
(Global yet Local) digital talents.

Duration

4 Years (2 years in class training + 2 years on the job training)

Credits

180 credits

Eligibility Criteria

  • Pass in 12th grade or equivalent.
  • Selection process via VUSAT, JEE, MHCET & PERA

Applied Degree CLaaS® for Digital Career Induction

CLaaS or Competency Learning as a Service is aligned around a competency-based curriculum to deliver specific skills and competencies required by employers and the industry.

Our applied bachelors engineering work study degree adopts work-based learning delivery with 2 year of knowledge acquisition in the classroom and 2 years of on-the-job training at the workplace for seamless job induction before graduation.

We deliver work ready skills with personalised mentoring from industry experts  using real world projects. Our learners are global-ready as they are engaged in online2offline learning and work full time, alongside international employers.

With global-ready skills and and 2 years of full-time working experience under their belt, we expect our learners to double their salary on graduation compere to graduates from conventional degree program.

We implement work-integrated applied learning pedagogy to deliver improved KSAs – Knowledge, Skills, and Ability. Our learners progress from knowledge acquisition in the classroom to higher order skills application and on-the-job skills mastery at the workplace using real-life or simulated projects.

WHAT DO STUDENT GET?

Attain competent in the Full-Stack Web Developer Skills

Learn front end programming skills such as HTML, CSS, JavaScript, jQuery, jQueryUI, Ajax, Angular, React and back end skills such as Java, JSP, Servlets, Struts, Spring, Hibernate, JPA, Liferay, APIs of popular digital platforms such as Facebook and Google, and MySQL database as well as agile development and data analytical skills to prepare yourself for a Full Stack Web Developer job

Acquire Enterprise Application skills

Learn Liferay and omnicomm programming skills to develop an application to the enterprise

Acquire Data analyst Skills

Learn R programming , Statistical modelling and Azure Machine learning to Clean, Analyse , Visualize and Predict both structured and unstructured data using machine learning models in Azure Machine Learning studio, to attain data analysis skills

Acquire Artificial Intelligence Skills

Learn Python Machine Learning programming, statistical modelling, Azure Machine Learning models in JupyterNotebook, Deep Learning and Natural Language processing(NLP) to define the next generation of Artificial Intelligent solutions and making inferences from knowledge

Acquire 21st Century skills

Acquire digital communication, problem solving, team work & collaboration skills