This programme is designed to provide a student with core concepts of computer science as well as data analytics. It also provides engineering and problem-solving skills using computational methods. The students will have an opportunity to learn principles, tools and techniques to model various real world problems, analyze them, and discover useful information. Further, they are encouraged to suggest solutions that support decision-making using suitable data visualization techniques. The prime focus of this program is to equip students with statistical skills, mathematical reasoning, machine learning, knowledge discovery and visualization skills. The focus is on holistic learning and on empowering students to make significant contributions at all levels.
Eligibility & Admission
- 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.
- 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.
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.