B.Sc Data Science and Analytics

Data Science:

Data science is a field of study that uses large amounts of data to find hidden trends and patterns. This information can be used to make better decisions. Companies collect vast amounts of data, and they use data science tools and techniques to build predictive models.

B.Sc Data Science and Analytics is a field that can be easy to learn with proper guidance. However, it is a vast field, and it can be easy for beginners to get lost. Our B.Sc Data Science and Analytics Programme can help you learn all the concepts from the beginning.

Data Scientists:

Data scientists collect, analyze, and interpret large amounts of data. They use their knowledge of mathematics, statistics, and computer science to find patterns and trends in data. This information can be used to make better decisions, improve products, and understand customer behavior.

Data scientists are a relatively new field, but they are in high demand. This is because the amount of data that businesses collect is growing exponentially, and there is a need for people who can make sense of it.

If you are interested in a career in data science, there are a few things you can do to prepare. First, you should develop your skills in mathematics, statistics, and computer science. You should also learn about the different tools and techniques that data scientists use.

There are many online resources that can help you learn about data science. You can also find data science courses at colleges and universities.

B.Sc Data Science an Analytics

Data scientists use their knowledge of computer science, statistics, and mathematics to analyze data. They then process and model the data to find patterns and trends. This information can be used to create actionable plans for companies and other organizations.

Demands:

Data science is a very popular field right now. According to Glassdoor, data scientists are in high demand and are ranked second in best jobs for 2021 and 2022. There are many job opportunities for data scientists because there is a shortage of people with the skills and knowledge needed for this field.

Data science is used in many industries, including banking, healthcare, finance, automotive, marketing, manufacturing, retail, and government agencies. Data scientists use their skills to analyze large amounts of data and find patterns and trends that can be used to make better decisions.

A data scientist’s role merges computer science, statistics and mathematics. They analyze, process and model data then interpret the results to create actionable plans for companies and other organizations.

Demands:

Data science is a very popular field right now. According to Glassdoor, data scientists are in high demand and are ranked second in best jobs for 2021 and 2022. There are many job opportunities for data scientists because there is a shortage of people with the skills and knowledge needed for this field.

Data science is used in many industries, including banking, healthcare, finance, automotive, marketing, manufacturing, retail, and government agencies. Data scientists use their skills to analyze large amounts of data and find patterns and trends that can be used to make better decisions.

A data scientist’s role merges computer science, statistics and mathematics. They analyze, process and model data then interpret the results to create actionable plans for companies and other organizations.

Demands:

Data science is a very popular field right now. According to Glassdoor, data scientists are in high demand and are ranked second in best jobs for 2021 and 2022. There are many job opportunities for data scientists because there is a shortage of people with the skills and knowledge needed for this field.

Data science is used in many industries, including banking, healthcare, finance, automotive, marketing, manufacturing, retail, and government agencies. Data scientists use their skills to analyze large amounts of data and find patterns and trends that can be used to make better decisions.

Contents of our Programme:

This immersive B. Sc. Data Science and Analytics programme starts with Data Extraction, Exploration Techniques and Machine Learning Algorithms, then it helps you gain expertise in Big Data, followed by becoming adept at its machine learning capabilities and become proficient in trending skills about AI & Deep learning and finally Data Visualization.

Our Data Science and Analytics curriculum is developed by leading industry experts that will deep dive into Data Science tools and methodologies and prepares us for our role as a Data Scientist includes statistics, Data Science, Python, Apache Spark & Scala, Tensorflow, Tableau, etc.

Opportunities:

After completing the Data Science course, we gain skills to help to get a job in Data Science. Some of the data science professionals are:

⦁ Data Analyst
⦁ Data Scientists
⦁ Data & Analytics Manager
⦁ Principal Scientist
⦁ Statistical Programming Specialist
⦁ Analytics Lead
⦁ Machine Learning Specialist

The companies hiring Data scientists are Oracle, Microsoft, Amazon, Google, Facebook, Apple, IBM, and TCS. However, Data scientists are in high demand in start-ups as well as large companies.

Eligibility

A Pass in +2/HSC (or equivalent) with “Computer Science or Information Technology or Information Practice” or “Mathematics or Business Mathematics or Statistics” as one of the subjects

Fees Structure

S. No.
Course
Fee per Year
Intake
1 B.Sc Data Science and Analytics ₹ 70,000 50

Curriculum and syllabus

Board of Studies