Looking to pursue a career in data science, but aren\u2019t sure whether to take a more strategic route or a more technical one? Read this blog to gain a clearer understanding of the best path forward.<\/p>\n\n\n\n
If you\u2019re a student wondering which university course to choose to set yourself on the right path, or a parent concerned about guiding your child towards a course they will genuinely enjoy, chances are someone has recommended you look into data science.<\/p>\n\n\n\n
It is the study of data to extract meaningful insights for business decisions. It combines mathematics, domain knowledge and computing to solve real-world problems and uncover hidden patterns.<\/p>\n\n\n\n
With the rise of artificial intelligence and the rapid growth of digital data, there has been a significant increase in data science careers across various sectors. At CMR University, data science is offered in combination with different programmes, with B.Tech. CSE in Data Science and BBA in Data Science are two popular choices. Let us explore both courses and how they differ, despite being centred on the same field.<\/p>\n\n\n\n
The biggest difference between the two courses lies in what you actually do with the data.<\/p>\n\n\n\n
Choosing the B.Tech. CSE degree places you firmly on the engineering side. This programme teaches you how to \u201cbuild\u201d. A B.Tech. student studies how computers process information, learns to write complex code and builds AI systems from scratch. It focuses on answering technical questions such as, \u201cHow do I make this AI recognise faces ten seconds faster?\u201d<\/p>\n\n\n\n
Choosing the BBA degree places you on the strategic side. You may not build the AI systems or code extensively, but you will learn how to extract insights from data models to make informed business decisions. It focuses on practical market-driven questions such as, \u201cWhy are users deleting our app within three days of downloading it?\u201d<\/p>\n\n\n\n
A key factor to consider is whether you meet the eligibility criteria.<\/p>\n\n\n\n
Due to its technical nature, a B.Tech. degree generally requires a background in Physics, Chemistry and Mathematics. CMR University requires candidates to have studied Physics and Mathematics, along with at least one of the following subjects:<\/p>\n\n\n\n
Eligibility for BBA in Data Science<\/p>\n\n\n\n
In contrast, the BBA in Data Science is less restrictive. It welcomes candidates from all academic backgrounds, although a foundation in mathematics is preferred to help students grasp the quantitative aspects of the programme. A working knowledge of Excel is beneficial, but it is introduced during the course, so applicants need not feel discouraged.<\/p>\n\n\n\n
Although both the B.Tech. CSE in Data Science and the BBA in Data Science focus on the same domain; their curricula differ significantly. As discussed earlier, the B.Tech. programme is more intensive and centres on building models, whereas the BBA programme focuses more on application.
B.Tech. CSE in Data Science is a four-year degree in which students primarily study coding, artificial intelligence, operating systems and advanced calculus. This engineering mathematics focuses on the mechanics behind building algorithms from scratch. Students work extensively with Python, C++ and R throughout the programme.
BBA in Data Science is a three-year programme covering subjects such as marketing, finance and business management. While many students are apprehensive about mathematics, the BBA approach focuses on business statistics rather than abstract theory. Since most analytics algorithms rely on statistical functions, students learn how to apply these tools for predictive analytics. For example, they study the \u201chow\u201d and \u201cwhy\u201d behind techniques such as regression to forecast business trends.<\/p>\n\n\n\n
BBA students are introduced to Python and R at a foundational level compared to B.Tech. students. There is also greater emphasis on Excel, as the BBA programme prioritises applying data science to solve market-oriented problems.<\/p>\n\n\n\n
In simple terms, think of B.Tech. as a deep dive into the engine, and BBA as a big-picture view of how to drive the car towards a business objective.<\/p>\n\n\n\n
With data science professionals in high demand across industries nationwide, both degrees can lead to rewarding roles and strong career progression.<\/p>\n\n\n\n
B.Tech. graduates typically pursue roles such as Machine Learning Engineer or Data Engineer, where they write production-level code and optimise the technical performance of AI systems.<\/p>\n\n\n\n
BBA graduates commonly move into roles such as Business Analyst or Growth Analyst, acting as a bridge between technical teams and management to translate data into actionable decisions.<\/p>\n\n\n\n
While entry-level salaries are often higher for B.Tech. roles due to their advanced technical requirements, a BBA degree can offer quicker progression into leadership and managerial positions.<\/p>\n\n\n\n
Ask yourself (or your child) these two questions:<\/p>\n\n\n\n