Computer Science and Engineering (Data Science)

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Program Outcomes:
1: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
2: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
3: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
4: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
5: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
6: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
7: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
8:  Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
9:  Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
10: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
11: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
12: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
 
Programme Specific Outcomes:
 
On completion of the B.Tech (Civil Engineering) degree the graduates will be able to
 
1. Plan, analyze, design, prepare cost estimates and execute all kinds of Civil Engineering Projects.
2. Apply modern construction techniques, equipment and management tools so as to complete the project within specified time and funds.
3. Support the society with solutions to various Civil Engineering problems focusing on sustainable development and upholding professional ethics.

Department Library has an extensive collection of books, technical and technical journals, and electronic reference material, which is updated regularly. The Library and Information Centre consists of a Reference Section, Circulation Section, Audio-visual Section, Periodical Section, Book Bank, and Digital Library.

Bachelor of Technology (B.Tech) after 12th in Science is a 4-year undergraduate program. This is one of the most opted computer science courses in India.

It is because the course curriculum is designed in a way that incorporates the basics and fundamentals of all the domains and sub-topics of Computer Science. Hence, the course offers knowledge in diverse fields and the student has numerous options to build a career in any one of the disciplines.

 

Mode of Learning- Both these courses are quite technical and highly advanced in terms of their curriculum and need regular practical learning. Therefore, BE and B.Tech courses are available only in offline mode. The government has not approved any online BE/B.Tech courses.

P.S- There are hybrid (online + offline) B.Tech courses but only for working professionals. So, immediately after 12th class, you can pursue BE/B.Tech only in the offline mode.

 

Duration- Both the BE and B.Tech courses are for a duration of 4 years. The course curriculum is divided into 8 semesters of 6 months each.

 

Eligibility- The eligibility criteria for admission in BE/B.Tech in Computer Science courses is that the applicant must have passed class 12th with Physics, Chemistry, and Mathematics as core subjects and with a score of at least 50% aggregate marks (or an equivalent grade) from a recognized board of education.

Career Prospects- BE/B.Tech in Computer Science is a job-oriented course, so you can directly get jobs related to software engineering in the Computer Science and IT departments of companies or in companies that have tech-based products.

However, the course also offers options for further studies. You can go for a postgraduate program in a particular discipline you want to specialize in and build your career. For example, after a B.Tech in Computer Science, if you are interested in the field of Cloud Computing, then you can go for a postgraduate course in Cloud Computing.

 

Job Roles and Salary- Given below are the prospective job roles after B.Tech in Computer Science and their respective average base salaries.

 

 

Value Added Education Courses aim to provide learner centric technical training. The main objectives of the program are:

 

$ To provide students an understanding of the expectations of industry.

 

$ To improve employability skills of students

 

$ To bridge the skill gaps and make students industry ready.

 

$ To provide an opportunity to students to develop inter-disciplinary skills.

 

In addition to the infrastructure and lab facilities available in the Department, Value Added Training Centers established in CSE in collaboration with industry leaders are used for conducting these employability enhancing Courses. The Courses focus on skill development and more than 50% of the time is spent on practical training and problem solving.

 

  • Core Python Programming.
  • AWS
  • Linux Administration
  • Data Engineering with Hadoop and Spark
  • Deep Learning and Machine Learning Programming through Python
  • Embedded Programming using C
  • Web Designing using PHP
  • C#.net