Most of us often wonder about the benefits of likes, comments, media sharing, and subscriptions when we use social media to share information, communicate with friends, or make connections. If truth be told, social media platforms and formats are way more than just entertainment in this highly competitive and dynamic business landscape. In essence, it is the ability to divulge your sensitive information in the form of your conscious choices, subconscious preferences, and behaviour, making these data valuable.
India ranks second in the most extensive online market worldwide in this modern age, with more than 560 million internet users. According to the Statista report, India’s total internet users will cross the 650 millionmark by 2023. The smartphone penetration and cheap internet connections result in the emanation of massive data from various digital sources. These data are of utmost importance for companies as they contain valuable insights about the field.
Businesses consume these valuable data to discover new ideas or trends, connect with existing and new audiences in more profound ways, build brand value, and attract traffic to their products. Unfortunately, digital sources-generated data combines an enormous volume of structured, semi-structured, and unstructured information.
As data scientists have in-depth knowledge of data, they help businesses make more intelligent decisions for achieving data-driven goals. Thus, professionals related to data science are in huge demand to help companies explore consumer shopping habits, personalised marketing, find new customer leads, monitor health conditions, and many more.
Now that the industry report suggests that the world is grappling with a severe shortage of data science professionals, taking up a data science and economics course will prepare you to thrive in sectors that deal with data, including banking, healthcare, and government.
An overview of data science and economics course
A Bachelor of Science in computer science (BSc) data science and economics course combines economic theory and its applications to understanding the financial decisions of businesses, governments, firms, entities, and individuals. The three-year undergraduate programme uses mathematics and quantitative techniques to teach economic theory. In contrast, data science teaches to solve financial problems in real life via team programming, machine learning, and artificial intelligence.
Eligibility requirements for data science and economics course
Do you have what it takes to pursue a data science and economics course? Check it now!
- A minimum of 50 percent in class 10th is mandatory.
- Applicants also need to secure a minimum of 50 percent in class 12th with Mathematics/Economics/Political Science.
- Applicants who fail to meet the mathematical academic requirements must undergo the Remedial Mathematics module in Semester 1.
- Noted universities in India conduct aptitude tests to select desirable students, while some consider valid JEE scores.
- Please note that the aptitude tests are divided into two sectors. Section A covers quantitative, qualitative, and reasoning, while section B is based on one subject out of five. These subjects are Economics, Psychology, Political Science, Mathematics, and Literature.
If you possess all it takes to secure a college seat to pursue a data science and economics course, apply now!
