When you look at the world of technology today, two words will immediately stand out among all the buzzwords – Data, and AI. Both these technologies have matured over the years, and are certainly expected to improve our lives and how we use them. But let’s get back to what we’re here for – what does a BTech data science course entail? And what skills will you learn studying in BTech data science colleges in India?
In this blog, we try to find out.
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BTech Data Science Course
If you are interested in data science but know squat about it, one of the best ways to learn it from the ground up is to enrol in a BTech Data Science course. This four-year undergraduate degree program can be found in BTech data science colleges in India and covers the fundamentals as well as advanced topics of data science.
For more information about this course that you find in Data Science colleges in Maharashtra and other states of India, check out the table below.
| Course Name | Bachelor of Technology in Data Science |
| Level | Undergraduate |
| Duration | 4 years |
| Mode of Examination | Semester System |
| Eligibility Criteria | 50% or more in 10+2 with PCM or equivalent diploma |
| Admission Process | Merit + Entrance Exam |
| Common Entrance Exams | JEE, MHT CET, CUET, etc. |
| Average Course Fee | INR 2 – 3 LPA |
| Average Salary | INR 5 – 7 LPA |
Skills You’ll Master in a Data Science Course
Some of the skills you will learn by pursuing a course at BTech data science colleges in India are:
Advanced Mathematics
You will learn various mathematical concepts and methods essential for data analysis and machine learning, like:
- Linear Algebra,
- Calculus,
- Discrete Mathematics,
- Probability, and
Programming
Among the programming skills you will learn at BTech data science colleges in India are:
- How to write code in Python, R, SQL, etc.
- How to use libraries and frameworks that simplify data manipulation and modelling. Some common examples include NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, etc.
Data Structures and Algorithms
You will learn how to organise and process data efficiently using various:
- Data structures: Arrays, lists, stacks, queues, trees, graphs, etc.
- Algorithms: Sorting, searching, hashing, recursion, dynamic programming, etc.
Database Management Systems
DBMS are very important in the data industry, as these tools are used to manage such huge amounts of data. Thus BTech data science colleges in India will teach you how to store and retrieve data from relational and non-relational databases such as MySQL, MongoDB, Cassandra, etc. as well as:
- Design schemas,
- Write queries,
- Perform transactions, and
- Ensure data quality and security.
Data Mining and Machine Learning
Just as any private university in Maharashtra is as likely to teach you how to apply various data mining and machine learning techniques to discover patterns and make predictions from data, government ones are too. Machine learning, which is integral for the AI applications like chatbots that we see these days, is another skill that is taught in these courses with topics like utilising supervised learning, unsupervised learning, and reinforcement learning algorithms for different tasks and scenarios.
Data Visualization and Communication
Finally, falling more under interpersonal skills than anything else in this list, you’ll also learn how to present and communicate your findings from data using charts, graphs, dashboards, reports, etc – a solid background in office suites. Universal AI University also teaches its students how to use storytelling techniques to convey their message effectively, and persuasively.
Data Science Jobs
After completing a Data Science course in Pune or any other region, you will be eligible for various data science jobs in different sectors and domains.These are some of the popular data science jobs that you can pursue after graduating from BTech data science colleges in India:
| Job Role | Responsibility | Average Salary |
| Data Analyst | A data analyst is responsible for collecting, cleaning, exploring, and analysing data using statistical methods and tools. A data analyst also creates reports and dashboards to communicate the results and insights to stakeholders. | INR 5 LPA |
| Data Engineer | A data engineer is responsible for building and maintaining the data infrastructure and pipelines that enable data collection, storage, processing, and analysis. They also ensure the data systems’ scalability, reliability, security, and quality. | INR 8.8 LPA |
| Data Scientist | A data scientist is responsible for applying advanced data mining and machine learning techniques to solve complex problems and generate value from data. A data scientist also communicates the findings and recommendations to decision-makers using visualisation and storytelling skills. | INR 9.5 LPA |
| Machine Learning Engineer | A machine learning engineer is responsible for developing and deploying ML models that can perform tasks such as classification, regression, clustering etc., and optimising the performance of the models using techniques such as hyperparameter tuning, testing, debugging, etc. | INR 8.1 LPA |
| Business Intelligence Analyst | A business intelligence analyst uses data to create reports, dashboards, and KPIs that help monitor, measure, and improve business performance. | INR 6.1 LPA |
Conclusion
Data Science has come a long way since its early days, when collecting customer data over the internet was just a concept being explored by large technology companies, to be used later to improve their systems. Today, this unique domain blending mathematics and computer science is all the rage in the industry, as almost every business that can afford it wants a data scientist to work their magic. Hence if you’re looking to get started in this growing field, all you need to do is enrol in a BTech data science colleges in India, to learn all the necessary skills that you may need for your career.
FAQs
1. Who are some of the top recruiters of Btech in Data Science graduates?
Some of the top recruiters of BTech in Data Science graduates are big tech companies like Amazon, Google, Microsoft, HCL, Capgemini, Wipro, Infosys, IBM, etc, though they can find employment opportunities in almost any industry.
2. Can I pursue further education after completing a BTech in Data Science course?
Yes, you can pursue further education after completing a BTech in Data Science course. Common options include going for an MTech or MSc in related fields or even an MBA.
3. Which programming language is important for data science career?
Python is the most used programming language in the data science domains, as per most job listings in the industry as of now. R is the second most used language.
4. What skills are required to be a data scientist?
Two types of skills are required to become a data scientist – technical and non-technical. Technical skills include programming languages, DBMS, Mathematics, etc, while non-technical skills include soft skills like communication, empathy, attention to detail, etc.