Bachelor of Data Science & Data Engineering Program in Bangalore

What is Data Science?

Data science is the new domain that combines domain expertise, programming skills, and knowledge of mathematics, statistics to learn meaningful insights from data. Data science utilise machine learning algorithms to numbers, images, video, texts, audio and more to create artificial intelligence to perform tasks that typically require human intervention.

Modern business has realised the importance of data science, AI, and machine learning to remain competitive. If your company likes to have a competitive edge over others, you must have data science capabilities. Because data science capabilities can only provide you with greater insight into your business, its standing vis a -vis the marketplace and deliver tangible business value for a better and informed decision making.

Data Science as a career - Few Highlights

  • “ Glassdoor Review says that the average income of Data Scientists in India is about 976k per year.

  • "LinkedIn has over 3,000 Data Science job opportunities in India

  • Data Scientist is the best job of the 21st century – Harvard Business Review

  • The global Big Data market to reach US$122 billion in revenue in 6 years – Frost & Sullivan

  • The number of jobs for all the US data professionals will increase to 2.7 million per year – IBM."

Career Opportunities for Qualified Data Engineering degree holders

Data Architect

The data collection on customer interaction, transaction, and revenue helps the bank make new policies and rectify old ones.

Data Analyst

The organisation's data helps to make policies and helps create new products and rectify the existing products/services. To create a new service, it's essential to know how to use the company's data.

Data Engineer

To equip the healthcare sector, a data engineer can help interpret data from public health, health patterns, and trends.


Srinivas University offering Bachelor of Data Science & Data Engineering Program in Bangalore

The degree course aims to divulge students to broad areas in an interdisciplinary subject. The programme helps them understand the basic concepts of statistics, data analysis, machine learning and related topics to understand and analyse various problems and phenomena concerning a large volume of data.

The degree programme also includes multiple techniques from mathematics, statistics, computer science and information technology domain. It is a three-year undergraduate program spread across six semesters. The objective is to have hands-on experience in fields like Applied Statistics, Predictive Modelling, Big Data Analytics, Machine Learning, Data Visualization and mining.

The successful completion of the course enables you to become an expert in programming, machine learning, data wrangling, intuition, software engineering, data visualisation, etc. Core programming languages include Java, SQL, Python, R, SAS, Scala, Julia, MATLAB, along with the knowledge of Tableau, Hadoop, and other tools.