B.Sc. Data Science: Admission & Information
Overview
The Bachelor of Science (B.Sc.) in Data Science program equips students with the skills and knowledge to thrive in the rapidly evolving field of data-driven decision-making. This interdisciplinary program blends concepts from computer science, statistics, and domain-specific fields to harness the power of data for innovation and problem-solving.
Admission Requirements
- Educational Background:Applicants typically need a 12th (PCM), with a strong foundation in mathematics and science.
- Prerequisites:Some programs may require specific courses in mathematics, statistics, or programming as prerequisites.
Curriculum Highlights
- Core Courses:Introduction to Data Science, Statistics for Data Science, Machine Learning, Data Visualization, Big Data Analytics.
- Electives:Offerings may include courses in Natural Language Processing, Deep Learning, Business Analytics, and Data Ethics.
- Capstone Project:Often, students complete a significant data science project applying their skills to real-world problems.
Career Opportunities
Graduates of B.Sc. Data Science programs are well-prepared for roles such as:
- Data Analyst
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Analyst
- Data Engineer
Why Choose St. Wilfred’s College, Mira Road?
- Expert Faculty:Learn from professors at the forefront of data science research and industry.
- State-of-the-Art Facilities:Access to cutting-edge computing resources and data labs.
- Industry Partnerships:Opportunities for internships and collaborations with leading companies.
- Career Support:Guidance in job placement, networking, and professional development.
Application Process
- Application Submission:Apply online through the College admissions portal.
- Review:Applications are reviewed based on academic performance, personal statement, and other criteria.
- Interview:Some programs may require interviews as part of the selection process.
- Acceptance:Successful candidates receive an offer of admission with details on enrollment and orientation.