Computer Science & Engineering (Artificial Intelligence)

B.Tech in Computer Science & Engineering (Artificial Intelligence) is a journey towards mastering CSE in the field of Data Science applying Machine Learning Techniques. This course will make the students to understand and master CSE and also make them specialist in the field of Data Science – which is one of the emerging fields of Computer Science and Highest paid in the market. Companies like Google, Microsoft, Face Book, Twitter, Instagram, Cisco, Amazon, Oracle are the major users of Data Science which is highly driven by data.

Data Science is the conceptual framework which is used in Analytics, this would include statistics, computational physics, algebra, CS and all allied subjects.

The interdisciplinary field of data science uses key skills of a wide range of fields including machine learning, statistics, visualization etc. It enables us to identify meaning and appropriate information from huge volumes of data to make informed decisions in technology, science, business etc.

For a simpler view on the relation between these technologies, data science is applied based on machine learning. And machine learning is a part of data science that draws features from algorithms and statistics to work on the data extracted from and produced by multiple resources. Thus, you can say data science merges together a bunch of algorithms obtained from machine learning to develop a solution, and during the process, lots of ideas from traditional domain expertise, statistics and mathematics are borrowed.

In a nutshell we can say other words, data science stands for an all-inclusive term that consists of aspects of ML for functionality. Interestingly, ML is also an element of data science, where a diverse set of purpose is achieved on a whole new level. ML and DS are a part and parcel of data science.

The major goal of this program is to impart knowledge on techniques and theories related to Big Data which includes statistics, data mining, data warehousing and data visualization. This course will be useful to students to develop and deploy their skills to achieve a thorough knowledge in Data Science.

So a B.Tech. graduate in CSE (AI) will be solving real life problems driven by data, applying machine learning algorithms and driven by DS concepts.

Career Opportunities after B. Tech. in the course

Data Analyst experts are among the most sought-after professionals in IT sector, with demand for skilled technocrats in that field outpacing other IT jobs by a wide margin. The career scope includes jobs such as Data Scientist, Data Engineer, Data Architect, Data Analyst in public and private sectors, financial services, retail/wholesale/e-commerce, IoT and healthcare industries.

Opportunities exist in the area of Design Engineering, Computing/IT Consulting and Solution Developers. Graduating engineers also work as System/Network Administrators or IT Managers. This programme enables you to contribute both in the area of hardware and software design of computer systems. Computer Engineer would have various job opportunities in various MNC’s like Microsoft, Oracle, IBM, Infosys, TCS, HCL, Accenture etc. as Computer Engineer, Software developer, Software tester, Network administrator, Database administrator, Database designer, Database operator, Website designer, Website developer, Mobile application developer, Robotics expert, Software analyst. After completing this course one can go for higher education like M. Tech or MS or ME +PhD course from abroad as well.

What should you expect from a degree in the course at KIET?

Learning Outcome:

• Students are equipped in mathematical and programming skills.
• An understanding of knowledge and machine learning techniques.
• An ability to function on multi-disciplinary teams.
• An ability to identify, formulates, and solve engineering problems.
• An understanding of professional and ethical responsibility.

Programme USP

• The course is going to be delivered on the latest technologies that are used in the area of Data Science.
• The course make candidates equipped with knowledge regarding hardware as well as software concepts of Data Science in addition to data visualization, Big data analytics, Business analytics, Machine Learning and many more.
• State-of-the-art laboratories with advanced equipment for meeting up industry requirements.
• Trainings, workshops, seminars, webinar and industrial visits offer practical knowledge as well as industry experience specifically in the domain of Data Science.
• Career path will lead to Data Scientist, Data Analyst, Business Analyst, SEO analyst, to name a few.