Make the First Move Towards a Global Career with Data Science and Analytics Courses

Data is the foundation of the digital world that contributes to driving innovations, making important decisions and the growth across industries. It can be defined as a collection of raw facts and figures or symbols that are processed and analysed to extract useful information.

Data can come in many formats- numbers, text, images and sounds. It can be stored in either structured or unstructured forms that can be manipulated for specific tasks and purposes.

By 2025, the global data volume is expected to reach an astonishing 182 zettabytes. Just to make it easy to understand, a zettabyte is the equivalent of storing 250 billion DVDs. This humongous amount of data is giving the organisations across the globe a key opportunity to extract relevant insights and make better decisions. They are leveraging this massive influx of information to gain insights by using big data analytics to improve efficiency and customer experiences.

To convert this massive amount of data into actionable insights and find out the relevant piece of information from the mountain of collected data, organisations are actively looking for Data Science and Analytics experts. The demand for professionals is constantly growing, and the salaries offered to these experts are increasing day by day. This is making the Data Science and Analytics courses a preferred career choice for students after class 12th.

Data Science and Analytics - Definition

A data and analytics course will prepare an individual to extract important insights from very large data sets that add value to business strategy and enhance operational efficiencies.

What is the Difference Between Data Science and Data Analytics?

Data science and data analytics are similar, but have significant differences. Although both involve the use of data to discover insights, data science usually entails the development of prediction models using data that will help predict future occurrences, while data analytics is about focusing more on the analysis of data collected in the past to help present-day decisions.

Data science is an umbrella term that includes data analytics and other disciplines such as data engineering and machine learning. The data scientist refers to professionals who apply statistical and computational techniques to draw insights from data, build prediction models, and create new algorithms. Data analytics uses analytical procedures to analyse collected data to draw insights that guide business decisions.

Data Science entails the use of a range of tools, techniques, and methods, such as programming, statistical techniques, machine learning techniques, and algorithms, for combining, preparing, and examining large datasets. The datasets often include both unstructured and structured data forms.

Data analytics is the use of tools and methods to mix and analyse data sets to discover patterns and extract useful insights.

Data Science and Analytics Courses You Can Pursue

To build a career in the field of Data Science and Analytics, there are various degree courses offered by universities that you can pursue. These courses are designed for both types of student: those who are looking for undergraduate programmes and those who are looking for postgraduate programmes.

1. B.Sc. in Data Science and Analytics after 12th

B.Sc. in Data Science and Analytics is the perfect undergraduate programme in which you can take admission after class 12th if you want to make a bright career in this field. It is a 4-year course that enables students to engage in the domains of data mining, analysis and predictive modelling.

A B.Sc. in Data Science and Analytics can set a strong foundation of skills and knowledge related to data collection, analysis, finding key insights, developing a model and presenting it. After completing this course, you can either start working as a data scientist or engineer or opt to go for higher education to build more specialised skills in this domain.

2. Master of Science in Data Science and Analytics after Graduation

M.Sc. in Data Science and Analytics is the course you can choose after completing your B.Sc. in Data Science and Analytics if you want to go for higher education. It is a comprehensive course that delves deeper into practical applications and equips students with more specialised knowledge in the field of data management, data analytics, programming, machine learning and more.

B.Sc. Data Science and Analytics Syllabus

When a student like you takes admission in Data Science and Analytics courses after 12th, there is a very obvious query that comes to mind.

What will I study in these courses?

Let’s briefly uncover the B.Sc. Data Science and Analytics syllabus to make a firm understanding of what this covers.

1. Linear Algebra

2. Programming

3. Data Visualization

4. Inferential Statistics

5. Database Management Systems

6. Artificial Intelligence

7. Data Warehousing & Mining

8. Data Preparation and Data Cleaning

9. Machine Learning

10. Big Data

11. Deep Learning

12. Cloud Computing

13. Natural Language Processing

14. Advanced Statistics

15. Regression Techniques and Time Series Analysis

Career Opportunities After Data Science and Analytics Courses

After completing degree courses like B.Sc. in Data Science and Analytics or Master of Science in Data Science and Analytics, there are various job roles for which you can apply.

1. Data Analyst

2. Data Engineers

3. Database Administrator

4. Machine Learning Engineer

5. AI Engineer

6. Data Scientist

7. Data Architect

8. Statistician

9. Business Analysts

10. Application Architect

These are some common job profiles in which you can work.

The salary after the Data Science and Analytics courses can start from 4 LPA to 10 LPA. With more working experience and learning more skills, you can even get a salary of around 20-25 LPA or even more.

As a fresher, your salary will depend on some key factors like the kind of skills and knowledge you have, the kind of projects you have built during the degree programme, and whether you have done any internships during the course or not.

Start Your Career with Data Science and Analytics Courses Offered at M.S. Ramaiah University of Applied Sciences

Data Science and Analytics courses can open a door to exciting career roles and give you the opportunity to earn a very lucrative salary. But it all starts with the decision of choosing the university where you will pursue this course.

Over the years, MS Ramaiah University of Applied Sciences has established itself as a world-class university. It provides two programmes under the stream of Data Science and Analytics:

• B.Sc. (Hons.) Data Sciences and Analytics

• M.Sc. in Data Sciences and Analytics

If you have just passed the intermediate exam and have dreams to make a career in Data Science and Analytics, or you are a graduate who wishes to improve your skills in this area and seek better chances in the career, then MS Ramaiah University of Applied Sciences is where you can fulfill your dreams and prepare yourself with the required knowledge and skills for a successful career in the domain of Data Science and Analytics.

Synopsis

Organisations across the globe are looking for experts to find actionable insights and build predictive models from the dataset to make more informed and accurate business decisions. This is causing a surge in demand for data scientists and data engineers, and so nowadays, Data Science and Analytics courses have become a preferred career path for students.

If you want to make a career in this field, then MS Ramaiah University of Applied Sciences offers B.Sc. in Data Science and Analytics and Master of Science in Data Science and Analytics courses that can help you become a professional in this field. Admissions are open. Apply now!

FAQs

What is the eligibility for admission in the B.Sc. in Data Science and Analytics programme?

The candidate must have completed class 12th from a recognised board with at least 50-60% marks and mathematics as a subject.

What is the criteria for admission in the Master of Science in Data Science and Analytics course?

Students who have completed a bachelor’s degree from a recognised university with at least 50-60% marks and mathematics as a subject can apply for the Master of Science in Data Science and Analytics course.

Which are the top companies that hire Data Science and Analytics course graduates?

Organisations across the domain look for Data Science and Analytics course graduates. Top companies include Google, Amazon, IBM, Flipkart, Deloitte, Genpact, JPMorgan Chase & Co., Barclays, etc.