B.Sc Data Science

The Admission Committee of Indus University will admit students based on merit. Students need to register themselves by online form –

Apply Now

Students can walk in and get admission to the course after interaction and approval by the admission committee.

for more information, call on +91 7622007507 or email admission.dcs2022@indusuni.ac.in

Course Duration: 3 Years (6 Semesters)

It is a multidisciplinary field that determines problems and challenges arising in various areas. Regarding career options and job opportunities, B.Sc in Data science is viewed as one of the trendiest and most promising courses drawing most tech-savvy enthusiasts.

Here are the main objectives of the B.Sc in Data Science course:

• Train graduates to achieve and execute data-driven investigations by managing and envisioning all types of data.
• Comprehend the concept and develop an in-depth knowledge of data science and analytics.
• To research quantitative and qualitative data, determine effective patterns and predicts upcoming trends.
• Train advanced techniques and procedures in obtaining actionable or significant insights from raw data sets.
• Extract meaningful insights and helpful information to strategize and develop more revenues.
• Incorporate with advanced data science domains and their applications to deliver solutions

Career Scope

Data Science is considered one of the top 50 trendiest jobs globally. Therefore, today is the right time to follow this specialized course to teach you various aspects of data collection, extractions, analyses, mining, data visualization, etc., across the diverse business, healthcare, logistics, banking, etc.

• According to LinkedIn, Data Science is the future of the business and e-commerce world. 
• You not only can earn a higher salary and get a stable career, but you can also explore and learn different techniques and technologies involved in the process. 
• Most IT professionals want to understand the basics of data science to learn and apply analysis in different types of data and extract valuable information from it.
• Around 40% increase in jobs have in data science from 2017 to 2019, and it is expected to increase in this rate, creating more than 2 Lakhs job options by the year 2021.

As the world evolves according to the latest trends and technology, the career opportunities for B.Sc Data Science are showcasing new platforms every passing year.

Today, most people across the globe have stepped on the digitalization age that is unleashing several job roles around the world.

Here are some top job opportunities in India for B.Sc data science graduates:

1. Data Mining Engineer

Data mining engineers are accountable for developing, maintaining, and testing statistical & predictive data and models and algorithms to evaluate extensive data within organizations.

2. Machine Learning Engineer

Machine learning engineers are assigned to design and implement machine learning applications, models and algorithms to fix protruding business challenges.

3. Data Engineer/Data Architect

Data engineers/Data architects are responsible for supervising minute data within the organization. They develop, construct, test, and maintain a highly scalable and solid structural database. Also, they are given in charge to create database solutions, analyzing obligations, and framing reports.

4. Data Scientist

Data scientists are the key investigators. They acquire skills to understand the provocations faced by the organization and recommend out of the box tactical solutions using data interpretation and data processing.

5. Statistician

The statistician interprets the results and strategic recommendations or incisive predictions using data visualization tools or reports.

6. Data Solutions Analyst

Data analysts are primarily concerned with maintaining client-specific data. They conduct activities like data manipulations, data visualization, evaluation of the company's policies and procedures, and advocacy accordingly.

7. Business Intelligence Analysts

Business intelligence analysts use predictive, prescriptive, and descriptive techniques to transform big & complex data into actionable and valuable information.