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Bachelor of Science (Computer Science, Statistics/Honours/Honours with Research) - Overview

Overview

 
 

The BSc undergraduate program in Computer Science and Statistics offers a dynamic and interdisciplinary approach to the ever-evolving fields of computer science and statistics. This comprehensive program equips students with a solid foundation in programming, algorithms, and software engineering, while also delving deep into the principles of statistical analysis, data modelling, and probability theory. This unique blend of knowledge and skills prepares graduates for a wide range of careers in various industries. Students gain hands-on experience in designing innovative software solutions and harnessing the power of statistical methods to extract meaningful insights from complex data sets. With a curriculum designed to meet the demands of the digital age, graduates emerge well-prepared for diverse career paths, ranging from data analysis and machine learning to

software development and business intelligence. Through a combination of theoretical knowledge and practical skills, students in this program are empowered to tackle real-world challenges, making significant contributions to the fields of computer science and statistics. The demand for BSc Computer Science and Statistics graduates is projected to grow significantly in the coming years, driven by the increasing adoption of data analytics and machine learning across various industries. The Bureau of Labor Statistics projects that employment for data scientists will grow by 22.8% from 2020 to 2030, much faster than the average for all occupations. Similarly, employment for software developers is expected to grow by 22% during the same period.

 

 

Why choose this course?

  • To understand fundamental principles of both subjects.

  • Apply the concepts and methods in key areas 

  • Learn problem solving, analytical and logical skills.

  • Provide solutions for the scientific requirements.

  • Develop critical thinking.

  • Present the subjects effectively.

 

What you will learn?

 
  • Programming Concepts
  • Algorithm Design
  • Computer Networks
  • Descriptive statistics
  • Inferential statistics
  • Probability theory
 

Modules

 
  • Discrete Statistics
  • Programming concepts
  • Computational Statistics

Year 1

  • Computer Fundamentals
 
  • Statistical Inference
  • Regression Modelling
  • Web and Mobile Application Development

Year 2

  • Web and Mobile Application Development
 
 
  • Survival Analysis
  • Time Series Analysis and Forecasting
  • Design and Analysis of Algorithm

Year 3

  • Projects
  • Cloud Computing and Artificial Intelligence
 
 
  • Computer Science Honors
  • Internet of Things
  • Research Oriented Courses

Year 4

  • Data Mining and Data warehousing
  • Computer Vision
  • UI/UX 
  • Machine learning
 

Career prospects

 
  • Technology: Software development , data science, machine learning, cybersecurity, IT consulting
  • Finance: Quantitative finance, risk management, investment banking, financial modelling
  • Academia: Research, teaching, data analysis
  • Healthcare: Medical imaging analysis, clinical research, drug discovery
  • Business: Business intelligence, data analytics, marketing analytics, supply chain management.

CHRIST
(Deemed to be University) Delhi NCR Campus

Mariam Nagar, Meerut Road, Delhi NCR, Ghaziabad - 201003

Tel: 01206666100

Email: mail.ncr@christuniversity.in

Web: https://www.christuniversity.in

Vision

EXCELLENCE AND SERVICE

Mission

CHRIST (Deemed to be University) is a nurturing ground for an individual's holistic development to make effective contribution to the society in a dynamic environment.

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