Data Science encompasses the generation of insights and value from raw data and is the core of digital businesses across all sectors. It’s a field that requires a diverse mix of capabilities and skills, and never gets boring. Data informs key decisions, leads to optimisation of existing processes, and is the enabler of entirely new business models via data insights and automation. When you take a bachelor’s degree in data science you join the data revolution that is leading major changes in businesses, economies, and societies today.
BSc Data Science is a 3 year full-time course that comes under the domains of Computer Science, Business Analytics and Artificial Intelligence.
Data Science is an interdisciplinary subject that includes the use of Statistics, Big Data Analytics, Machine Learning and related aspects in order to understand the problem or phenomena with respect to a set of real-world data.
This course is highly popular among students in India and Abroad because of its increasingly high demand and diverse future scope in tech companies, consultancies, market research companies and energy sector.
Admission to this course usually takes place on the basis of merit and performance in the university level Common Entrance Tests. The minimum eligibility required is the completion of Class 12 with Science stream (Physics, Chemistry, Mathematics).
Currently, GNIT is offering this course, whose course curriculum is approved by UGC. Major BSc Data Science subjects include Machine Learning, Cloud Computing, Data Visualizations, Python Programming, Operating Systems and others.
In terms of career, this is considered one of the trendiest and most promising courses of 2021 and many students are attracted to this interdisciplinary program.
You will not only learn about Big Data Analytics, but also get to study the related subjects which will enhance your skills and knowledge to become a great Data Scientist.
Average Starting Salary can be expected around INR 5-8 LPA, but after working on various projects and getting ample experience, you can earn as high as INR 16 LPA in reputed companies such as MuSigma, Publicis Sapient, Amazon, Accenture, E&Y, TCS, Cognizant and others.
To create technical manpower of global standards with capabilities of accepting new challenges in the field of Information Technology to serve the society..
To build a quality and cutting-edge technology infrastructure and deliver quality, prompt and reliable technology education services. Establish and maintain an effective academic environment for students. Engage in emerging research areas and establishing leadership. Contribute to the community services at large as well as catering to socio-economic goals in local and national levels
To prepare students to excel in graduate school or technical careers through a world-class, rigorous and competitive program in the field of Information Technology.
To train students across the spectrum of basic and applied science, recognizing and exploiting common descriptions in disparate systems.
To train students with sufficient scientific and Information Technology breadth to design and create novel solutions to real-life problems in computing domain.
1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an enginee- ring specialization to the solution of complex engineering problems.
2. Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.