BSc. IT in Data Science


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BSc. IT in Data Science

DURATION: 4 YEARS

With the rapid growth of digital data in every aspect of life, there is an increasing need for skilled professionals who can collect, process, analyze, and extract valuable insights from large volumes of information. In today’s data-driven world, businesses that succeed are those that use data to guide decisions, improve operations, and predict future trends. The role of Data Science is not just supportive—it is now a key driver of innovation and strategic growth. Data Science is applied across industries—from business and finance to healthcare and technology—for everything from simple reporting to complex predictive modeling and organizational transformation. There is a strong demand for a new generation of professionals who can fully harness the power of data and translate it into actionable results.

The B.Sc in Data Science program at BlueCrest University is designed to professionally equip students with the tools and knowledge required for a successful career in the data-driven IT industry. The program focuses on essential skills such as programming, statistics, data visualization, machine learning, and big data technologies, all delivered through an interactive and practical learning process.In addition to technical knowledge, the program develops soft skills, leadership abilities, and presentation techniques. Personality development, communication, and critical thinking are also core components of the curriculum. With inputs from industry experts and an emphasis on hands-on experience, students gain exposure to real-world tools and challenges in data science and analytics. The B.Sc in Data Science at BlueCrest University is rigorous, industry-aligned, and focused on preparing students to apply data science techniques in solving real-world problems, empowering them to become the next generation of data professionals and innovators.

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Program Aims

Building tomorrow's data science leaders through comprehensive education and practical experience

Provide strong foundation in theoretical and practical aspects of Data Science, including statistics, programming, and machine learning.

Develop technical skills in data analysis, predictive modeling, and programming (Python, R, SQL) for real-world applications.

Foster critical thinking and analytical reasoning to address complex data-driven challenges across industries.

Prepare students for diverse careers as data analysts, scientists, ML engineers, and business intelligence specialists.

Provide foundation for advanced studies and specialized master's or research degrees in data science fields.

Build communication and teamwork skills for effective collaboration and insight presentation to diverse audiences.

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Program Structure

Comprehensive curriculum designed to build expertise in management and leadership

YEAR 1
SEMESTER - 1
  • IT Fundamentals & Office Productivity Tools
  • Programming Logic & Techniques
  • Linear Algebra
  • Freshman English I
  • Introductory French I
SEMESTER - 2
  • Object Oriented Programming using C++
  • Operating Systems
  • Basic Calculus
  • Freshman English II
  • Introductory French II
YEAR 2
SEMESTER - 1
  • Computer Organization & Architecture
  • Data Communication & Networks
  • Database Management Systems
  • Discrete Mathematics
  • Critical Thinking
SEMESTER - 2
  • Object-Oriented Programming using Java
  • Web Technology
  • Routing and Switching 1
  • Software Engineering
  • Probability and Statistics
YEAR 3
SEMESTER - 1
  • Advanced Database Systems
  • Cloud Computing and Virtualization
  • Mobile Application Development
  • Elective 1 - Data Analytics and Visualization
  • Elective 2 - Machine Learning Algorithms
SEMESTER - 2
  • Robotics and Automation
  • Artificial Intelligence
  • Routing and Switching 2
  • Elective 3 - Big Data Analytics
  • Elective 4 - Deep Learning and Neural Networks
YEAR 4
SEMESTER - 1
  • Internship
  • Project Phase 1
SEMESTER - 2
  • Project Phase 2
  • Multimedia and Design
  • IT Law & Practice
  • Elective 5 - Natural Language Processing (NLP)
  • Reverse Engineering

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