First semester
- INFORMATION DATA MANAGEMENT
- APPLICATION ARCHITECTURE
- INTRODUCTION TO HTML
- INTRODUCTION TO CSS
- JAVASCRIPT
- BOOTSTRAP
- ANGULARJS
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.
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10,000
Students per Year
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25,000
Continuing Education Trainees
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800+
Trainers
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20
Partner Universities
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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.
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Online Program
12-month online program
Online Lab Sessions
Highly Experienced Faculties
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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
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Collaborations
Careerera has collaborated with many eminent Universities and Organizations across the Globe to exchange knowledge.
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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.
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.
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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
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
FAQ
Find answers to all your queries and doubts here.
Q1: Describe Bachelor's in Computer Science ?
Bachelor's in Computer Science 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's in computer science 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's in Computer Science?
Q3: How do conventional Bachelor programs (Bachelor's in Computer Science or BA) and Bachelor's in Computer Science programs differ from one another?
Q4: Is work experience required to enroll in an Bachelor's in Computer Science program?
Q5: What are the job opportunities after completing a Bachelor's in Computer Science course?
Q6: What are the topics covered in the Bachelor's in Computer Science course syllabus?
Q7: What are the career prospects after completing a Bachelor's in Computer Science course?
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