To apply for the B.Sc. For the Data Science and Analytics programme, candidates must have passed the 10+2 examination in Science or Commerce with Mathematics or Statistics as core subjects from PUC / ISC / CBSE or an equivalent board. Alternatively, candidates may have completed a course recognised as equivalent by the University.
Our BSc Data Science programme, accredited by the Institute of Analytics (IoA), prepares students for graduate membership in IoA upon completion. Focused on fostering scientific aptitude and critical thinking, it equips students to conduct research and interpret data for evidence-based decision-making. With a blend of qualitative and quantitative analysis, students decode data patterns and trends, facilitating effective problem-solving.
IoA, a prominent UK professional body, advocates for analytics innovation and understanding. Students start as student members and progress to graduate membership post-graduation. Data science courses in Bangalore, a growing field, drive business evolution by leveraging statistical, computational, and mathematical skills. Data scientists employ data mining and machine learning techniques to derive insights from diverse data sources, from financial records to social media. Effective communication of findings is crucial in this domain. BSc Data Science and Analytics empowers solutions to contemporary societal challenges, from predictive analytics to extensive data management.
For those seeking a BSc Data Science syllabus or information on BSc Data Science subjects, our curriculum is designed to encompass a wide range of data-related concepts and methodologies. It offers comprehensive training through hands-on projects and practical exercises. Additionally, we provide insights into BSc Data Science colleges in India and specific guidance on the best BSc Data Science colleges in Bangalore for students looking to pursue their dreams. Our programme also highlights BSc Data Science eligibility criteria to help aspiring data scientists understand their path.
We understand the importance of accessibility, offering online and offline BSc Data Science courses in Bangalore and ensuring inclusivity for learners. Our focus on interdisciplinary learning ensures that students acquire technical skills and a holistic understanding of how data science intersects with various industries and domains. Through industry partnerships and guest lectures, students receive valuable insights into the practical challenges and opportunities in the field.
When considering BSc Data Science and Analytics colleges in Bangalore, our programme stands out for its innovative approach, ensuring students are well-prepared for the evolving global economy. Our curriculum fosters creativity, enabling students to develop skills in advanced analytics methods, programming languages like Python and R, and business problem-solving using tools like Tableau and SAS. As one of the best BSc Data Science colleges in Bangalore, we are committed to delivering affordable yet high-quality education, empowering students to tackle challenges and seize opportunities in data science.
The programme offers two main tracks:
(i) a 3-year undergraduate degree and
(ii) a 4-year undergraduate degree with Honours, emphasising research.
School of Sciences
#34, 1st Cross
J C Road
Bangalore - 560027
P +91 80434 30100
JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 560 069
P : +91 73378 80218
P : +91 98440 73343
Develop concepts and designs in a lively studio environment, conversing, making and drawing alongside others.
Economic problem-solving skills to discuss the opportunities and challenges of the increasing globalisation of the world economy.
Ability to apply analytical techniques to analyse and interpret data.
Ability to use Python, R, etc., tools to solve business analytics problems.
Recognise the importance and value of various disciplines' mathematical and statistical thinking, training, and problem-solving approaches.
Ability to understand a problem with their knowledge of different functional management areas.
Analyse the efficiency and equity implications.
Ability to perform descriptive, predictive, and prescriptive analytics.
Our career enhancement programmes follow industry standards, helping students develop skills needed for today's job market. Evaluation includes various assessments, such as assignments and exams. We focus on soft skills like communication and presentation to boost employability.
A degree in Data Science opens doors to abundant career opportunities. They can work on diverse profiles and in different fields like:
Data Analyst
Data Engineers
Developers & Consultants
Database Administrator
Machine Learning Engineer
Data Scientist
Data Architect
Statistician
Business Analyst
Data and Analytics Manager
Data modelling
Business intelligence development