Bachelor of Science in Computer Application

It is an undergraduate degree course in computer applications that is designed to provide students with theoretical and practical knowledge of computing and application software.

The course focuses on topics such as computer programming, database management systems, computer networks, computer architecture, and web design. Students may also learn about information technology, software engineering, and e-commerce.

Why Collège de Paris?

Collège de Paris has been known for providing excellent education since 1949. It is accredited by organizations such as Campus France and the International Association of Language Centers. The university is committed to providing the best career opportunities for over 100,000 students coming from over 130 countries.

  • 10,000

    Students per Year

  • 25,000

    Continuing Education Trainees

  • 800+

    Trainers

  • 20

    Partner Universities

  • Top 500

    Best Global Universities

By the time you complete the academic requirements for your Computer Application Bachelors’ degree, you will be able to:

An understanding of the fundamentals of Data Science, Cybersecurity, software development, and database systems.

Knowledge of web development technologies including HTML, CSS, JavaScript, and Bootstrap.

An understanding of the principles of networking, communication protocols, and security.

Ability to design and develop software applications for businesses.

Knowledge of business analytics, data mining, and data warehousing.

Ability to work in a team environment and communicate technical concepts to non-technical stakeholders.

Program Highlights

See which benefits you can derive from joining this program.

  • Online Program

    12-month online program

    Online Lab Sessions

    Highly Experienced Faculties

  • Dedicated Support Team for your Academic Journey

    Industry Experts Live Sessions

    Grievance Redressal System

    Dedicated Tech & Academic Support on how to leverage the platform features

  • Collaborations

    Careerera has collaborated with many eminent Universities and Organizations across the Globe to exchange knowledge.

  • Become Job-ready

    Real-world case studies to build practical skills

    Hands-on exposure to analytics tools & techniques

    Learn industry insights through multiple industry knowledge sessions

Program Curriculum

An overview of what you will learn from this program.

First semester

  • INFORMATION DATA MANAGEMENT
  • APPLICATION ARCHITECTURE
  • INTRODUCTION TO HTML
  • INTRODUCTION TO CSS
  • JAVASCRIPT
  • BOOTSTRAP
  • ANGULARJS

Second Semester

Starting the second semester, students have chosen one of the three double majors available. Depending on the major, different courses are offered:

DATA SCIENCE REQUIREMENTS:

  • PYTHON FOR DATA SCIENCE.
  • PYTHON LIBRARIES
  • STATISTICS FOR DATA SCIENCE
  • EXPLORATORY DATA ANALYSIS
  • DATA ANALYSIS USING SQL
  • HYPOTHESIS TESTING
  • SUPERVISED LEARNINGUNSUPERVISED
  • LEARNING
  • DECISION TREES
  • BI TOOLS:- TABLEAU
  • PROGRAMMING USING R

OR

CYBER SECURITY REQUIREMENTS:

  • INTRODUCTION TO CYBER SECURITY
  • NETWORKING
  • INTRODUCTION TO LINUX
  • INTRODUCTION TO ETHICAL HACKING
  • INFORMATION GATHERING
  • DENIAL-OF-SERVICE (DOS)
  • ENUMERATION
  • SOCIAL ENGINEERING
  • FIREWALL
  • WEB SERVER HACKING
  • CRYPTOGRAPHY

OR

SOFTWARE DEVELOPMENT REQUIREMENTS

  • INTRODUCTION TO PYTHON
  • CONTROL STATEMENTS
  • LIST, RANGES & TUPLES IN PYTHON
  • PPYTHON OBJECT ORIENTED
  • PROGRAMMING
  • PYTHON REGULAR EXPRESSIONS
  • PYTHON MULTITHREADED
  • PROGRAMMING
  • DJANGO WEB FRAMEWORK IN PYTHON
  • DATA HANDLING WITH MYSQL

Capstone Projects

Test your skills and mettle with a capstone project.

Retail

Techniques used: Market Basket Analysis, RFM (Recency-Frequency Monetary) Analysis, Time Series Forecasting

E-commerce

Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network

Web & Social Media

Techniques used: Topic Modeling using 9 Latent Dirichlet Allocation. K-Means & Hierarchical Clustering

Banking

Techniques used: Linear Discriminant Analysis, Logistic Regression, Neural Network, Boosting, Random Forest, CART

Supply Chain

Techniques used: Text Mining, Kmeans Clustering, Regression Trees, XGBoost, Neural Network

Healthcare

Techniques used: Logistic Regression, Random Tree, ADA Boost, Random Forest, KSVM

Retail

Techniques used: Market Basket Analysis, Brand Loyalty Analysis

Insurance

Techniques used: NLP (Natural Language Processing), Vector Space Model, Latent Semantic Analysis

Entrepreneurship /Start Ups

Techniques used: Univariate and Bivariate Analysis, Multinomial Logistic Regression, Random Forest

Finance & Accounts

Techniques used: Conditional Inference Tree, Logistic Regression, CART and Random Forest

Why Careerera

Enrol with leading global online educational course provider.

Users

250000+

Top Ranked Programs

10

Industry Experts

500+

Expert Faculties

1000+

Benefits

Learn from leading academicians and several experienced industry practitioners from top organizations.

Personalised workshops based on your proficiency level to help you get on par.

Mix of Live Classes & Recorded lectures for your convenience.

24*7 Student Support, Quick doubt resolution by industry experts

Our Users From

We Have Users For Our Bachelor of science in computer applicaiton Program From Following Companies

Application Process

Enroll in the program with a simple online form.

Apply by filling a simple online application form

Admissions committee will review and shortlist.

Shortlisted candidates need to appear for an online aptitude test.

Screening call with Alumni/ Faculty

Sign Up

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FAQ

Find answers to all your queries and doubts here.

Q1: Describe Bachelor of science in computer applicaiton ?

Bachelor in Computer Application (Bachelor of science in computer applicaiton) is an undergraduate degree program in computer application.his program focuses on developing core skills in computer programming, software development, application development, database management, system analysis, and web development. The course structure of Bachelor of science in computer applicaiton typically consists of core subjects such as computer fundamentals, programming languages, operating systems, database management systems, networking and communication, web technology, and software engineering. Additionally, students learn computer security, software testing, business intelligence, and project management.

The students are expected to develop the ability to use the latest technologies and tools to solve complex problems, and create new applications to meet the needs of the industry. The course also covers topics such as digital marketing, data analytics, and artificial intelligence.

Q2: Who should do Bachelor of science in computer applicaiton?

Q3: How do conventional Bachelor programs (Bachelor of science in computer applicaiton or BA) and Bachelor of science in computer applicaiton programs differ from one another?

Q4: Is work experience required to enroll in an Bachelor of science in computer applicaiton program?

Q5: What are the job opportunities after completing a Bachelor of science in computer applicaiton course?

Q6: What are the topics covered in the Bachelor of science in computer applicaiton course syllabus?

Q7: What are the career prospects after completing a Bachelor of science in computer applicaiton course?

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