BSc Data Science and Analytics

Bachelor of science (honours / honours with research) with global qualification.  Data science and analytics with institute of analytics (ioa) uk + certificate in generative artificial intelligence and machine learning.

Eligibility

• To apply for the B.Sc. Data Science and Analytics program, 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 recognized as equivalent by the University.

Overview

• Our BSc data science program, 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 techniques like data mining and machine learning to derive insights from diverse data sources, from financial records to social media. Effective communication of findings is crucial in this domain. From predictive analytics to big data management, data science and analytics empower solutions to contemporary societal challenges.
• For those seeking a data science course syllabus in Bangalore, our curriculum, designed to encompass a wide range of data-related concepts and methodologies, offers comprehensive training through hands-on projects and practical exercises. Additionally, we provide insights into data science offline course in Bangalore to enhance understanding. We understand the importance of accessibility, offering both online and offline data science and analytics courses in Bangalore. 
• As for data analytics course fee and BSc data science colleges in Bangalore, we strive to provide affordable education without compromising quality. Our focus on interdisciplinary learning ensures that students acquire not only technical skills but also 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 the best data science colleges in Bangalore, our BSc data science program stands out, ensuring data science course eligibility for aspiring professionals.

BSc Data Science and Analytics Course Highlights

• Foster creativity and design innovation through lively studio environment.
• Gain deep understanding and proficiency in advanced data science techniques through one of the best data science courses in Bangalore.
• Develop skills to tackle challenges and leverage opportunities in the global economy.
• Apply advanced analytical methods to interpret data effectively.
• Employ Python, R, and other tools for solving business analytics problems.
• Recognise the value of mathematical and statistical approaches in problem-solving across disciplines.
• Receive mentoring, guidance, and mock interviews to prepare for professional success.
• Develop projects using R, Python, Tableau, and SAS, demonstrating practical application of data science skills.

The program offers two main tracks:

• A 3-year undergraduate degree and
• A 4-year undergraduate degree with Honours, emphasizing research.

Semestre 1

• English – I
• Core papers
• Database management system*
• Basic mathematics*
• Management concepts and Marketing management
• Economics – I
• ICT for analytics – I* / Academic writing

Semester 2

• English – II
• Core papers
• Descriptive statistics*
• Financial statement analysis
• Economics – II
• Environment studies
• Mind management and Human values (compulsory)

Semester 3

• Probability theory and Theoretical distribution
• Structural query language
• Business analytics
• Business analytics programming
• Financial management
• Communicative English
• ICT for analytics – II / Data visualization

Semester 4

• Business forecasting
• Sampling distributions and Statistical inference
• Research methodology
• Analytics narration / Statistical tools - SPSS
• Financial analytics / Psychology
• Marketing analytics / Cultural studies

Semester 5

• Financial management
• Business simulation
• Analytics for logistics
• Data manipulation and Data Cleaning using R / Big Data analytics
• Analytical tools – Python / Deep learning
• Business environment / Digital marketing

Semester 6

• Design of experiments and Multivariate analysis
• Econometrics
• Predictive modeling using SaS / Artificial intelligence
• Advanced analytics / Data mining
• Operations research / Project
• HR analytics / Gandhian thoughts

Course Highlights

• 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 globalization of world economy
• Ability to apply analytical techniques to analyze and interpret data
• Ability to use tools such as Python, R, etc. to solve business analytics problems
• Recognize the importance and value of mathematical and statistical thinking, training, and approach to problem solving on a diverse variety of disciplines
• Ability to understand a problem with their knowledge in different functional areas of management
• Analyze the efficiency and equity implications
• Ability to perform descriptive, predictive, and prescriptive analytics

Career Enhancement Programs

• Our career enhancement programs follow industry standards, helping students develop skills needed for today's job market. Evaluation includes various assessments like assignments and exams. We focus on soft skills like communication and presentation to boost employability.

Career Outcomes
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