B.Sc. (Data Science)

We have always wondered about the future and experimented with offering full-time degree programs that are futuristic to meet india’s evolving needs as well as be globally accepted. 

Advantage

• Strategic Partnership with the Analytics Society of India provides students access to guided analytics learning, webinars, masterclasses, workshops and certification programs.
• Tie-ups with industry bodies like NASSCOM, Amazon Education Service, Eduskills, National Cyber Safety & Security Standards and other institutions facilitate industry-oriented learning.
• State-of-the-art Hardware and Software Labs offer students hands-on training AZURE, PYTHON, MySQL, Tableau, Big Data, and more.
• Employability Skill Enhancement is facilitated through the provision for pursuing online courses offered by the National Programme for Technology Enabled Learning (NPTEL).
• Centers of Excellence contribute to the holistic development of students through unique programmes and initiatives in areas such as creative and performing arts, innovation and entrepreneurship, sports and wellness, social action and more.
• Mentoring by leading academicians with national and international acclaim, teachers with cumulative industry experience of 50+ years, and rich academic exposure.
• Opportunity to gain industry experience by working on Industry Relevant Live Projects, 50+ case studies and assignments.
• Scope to gain in-demand skills and experience through work-integrated learning opportunities, seminars, webinars, and programming boot camps.

Minimum eligibility for b. Sc. - data science

• 10+2 passed with Science, Mathematics, and English from a recognised board. Knowledge of Statistics is preferred.

Admission process
To complete admission online, follow the steps below:

• Fill up the online application form
• Sit for ENPAT and personal interview
• Receive selection letter via e-mail
• Pay admission fees

Scope & Career Opportunities

• India is the second-highest country next to the US to have generated the demand to recruit about 50,000 Data Scientists for 2020 and 2021. 

After studying B.Sc. in Data Science, students can join the industry as

• Data Analyst
• Data Scientist
• Data Architect
• Data Administrator
• Business Analyst
• Data/Analytics Manager
• Business Intelligence Manager

Computing fundamentals

• Foundation of Computer Science- fundamentals of computing, computing peripherals, data structure, web and internet.
• DBMS- management of data, databases and SQL programming

Statistical methods

• Statistics Theory-fundamentals of statistics and probability, statistical modeling and data analysis.
• Time series- time series to forecast, smoothing techniques, time series as a stochastic process, spectral analysis of time series data.

Machine learning

• Artificial Intelligence & Machine learning- Design algorithms, artificial intelligence & machine learning techniques, AI/ML applications with business and scientific data.
• Python Programming- Analyze and process data, build machine learning models with advanced Python programming language.

Advanced concepts in data science

• Big Data Analytics- big data concepts, Hadoop ecosystem and build big data environment, apply machine learning in distributed big data environment.
• Business Intelligence- techniques of faster reporting, analysis, planning, business decision support, improved data quality, operational efficiency, agile methods, user centricity and customer satisfaction.