You can apply online through the official website. Admission is based on academic merit or scores from recognized entrance exams.
About Programme
The BCA in Data Science at Apex University is designed to equip students with the skills to analyze, interpret, and visualize data for strategic decision-making. The curriculum covers Python, R, SQL, machine learning, artificial intelligence, and big data technologies. Students gain hands-on experience in data modeling, statistical analysis, and predictive analytics. The program provides real-world exposure through projects, internships, and industry collaborations, making graduates job-ready for careers in data analytics, business intelligence, and artificial intelligence.
Course Details
Eligibility Criteria
Passed in 10+2 or its equivalent examination in any stream conducted by a recognized Board / University / Council obtained at least 50% for General , 45% for SC, ST, OBC & SBC
Fees Per Semester
55000/-
Duration / Schedule
3 Years (6 Semesters)
Seat Metrix
50% CUET and 50 % AUCET
SCHOLARSHIP AVAILABLE
Scholarship up-to 10 Lacs available for meritorious students
Check Eligibility
Programme Structure
| Semester 1 | |
|---|---|
| THEORY PAPER | PRACTICAL PAPER |
| - Fundamentals of Computer | - C Programming Lab |
| - C Programming | - Office Tools Lab |
| - Mathematics-I | - Web Development Lab |
| - Effective Communication Skills-I | - Social Outreach, Discipline and Curriculum Activities |
| - Computer Architecture | |
| - Web Development | |
| Semester 2 | |
|---|---|
| THEORY PAPER | PRACTICAL PAPER |
| - OOPs with Java | - Data Structure Lab |
| - Data Structure and Algorithm | - OOPs with Java Lab |
| - Digital Marketing | - DBMS Lab |
| - Probability & Statistics | - Social Outreach, Discipline & Extra Curricular Activities |
| - Effective Communication Skills-II | |
| - Database Management System | |
| Semester 3 | |
|---|---|
| THEORY PAPER | PRACTICAL PAPER |
| - (Data Science-I (Data Analytics and Visualization) / Full Stack-I (MongoDB & Type Script) | - DS-I Lab / Full Stack Lab-I |
| - (Data Science - II (Data Engineering) / Full Stack-II (NODE JS) | - Computer Network Lab |
| - Python Programming | - Python Lab |
| - Computer Network | - Social Outreach, Discipline & Extra Curricular Activities |
| - Operating System | |
| - Professional English-I | |
| Semester 4 | |
|---|---|
| THEORY PAPER | PRACTICAL PAPER |
| - (Data Science - III (Machine Learning Basics) / Full Stack-III (Angular JS) | - DS-III Lab / FS-III Lab |
| - (Data Science - IV (AI & Deep Learning) / Full Stack-IV (Express & API ) | - DS-IV Lab / FS-IV Lab |
| - Cyber Security (Ethical Hacking) | - Cyber -I Lab |
| - Android Application Development-I | - Android- I Lab |
| - Cloud Computing | - Social Outreach, Discipline & Extra Curricular Activities |
| - Competitive Coding | |
| - Professional English- II | |
| Semester 5 | |
|---|---|
| THEORY PAPER | PRACTICAL PAPER |
| - Block Chain Technology | - DS-V Lab / Full Stack-V Lab |
| - (Data Science - V (Neural Networks) / Full Stack-V (Mean Stack Framework) | - Cyber �II Lab |
| - Cyber Forensic Investigation-II | - Android �II Lab |
| - Android Application Development-II | - Minor Project |
| - Software Project Management | - Social Outreach, Discipline & Extra Curricular Activities |
| - Professional English - III | |
| Semester 6 | |
|---|---|
| THEORY PAPER | PRACTICAL PAPER |
| - Major Project | |
| - Social Outreach, Discipline & Extra Curricular Activities | |
Programme Objectives
Data Analytics and Data Science Program
This program aims to develop skilled data analysts and data scientists who can derive meaningful insights from structured and unstructured data. It focuses on programming, statistics, machine learning, and data visualization. Students learn to work with large datasets, use AI tools, and solve real-world business problems using data-driven approaches.
Key Program Objectives
- Build expertise in data collection, cleaning, and preprocessing: Develop skills in data collection, cleaning, and preprocessing.
- Develop programming skills in Python, R, and SQL: Gain proficiency in programming languages such as Python, R, and SQL.
- Master machine learning and artificial intelligence techniques: Master techniques in machine learning and artificial intelligence.
- Learn statistical and predictive modeling for business analytics: Understand statistical and predictive modeling for business analytics.
- Gain hands-on experience with big data tools like Hadoop and Spark: Get hands-on experience with big data tools such as Hadoop and Spark.
- Develop proficiency in data visualization using Power BI and Tableau: Improve data visualization skills using Power BI and Tableau.
- Prepare students for roles in data analytics, AI, and business intelligence: Get ready for careers in data analytics, AI, and business intelligence.
Course USPs
The BCA Data Science program provides hands-on training with industry-leading tools and technologies. The curriculum is industry-aligned and covers practical applications, including AI, machine learning, and data analytics. Students work on real-world datasets and projects, preparing them for careers in data science, AI development, and business intelligence.
Career Opportunities
Big Data Engineer:
Manages large-scale data pipelines and optimizes big data storage and processing systems.
Machine Learning Engineer:
Designs and deploys machine learning models for automation and predictive analytics.
Business Intelligence Analyst:
Uses data visualization tools and analytics to help businesses make data-driven decisions.
Data Analyst:
Analyzes datasets to extract insights, trends, and business intelligence for decision-making.
Frequently Asked Questions
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1. How can I apply for the program?
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2. Are there scholarships available for this program?Yes, scholarships are offered based on academic performance, entrance exam results, and financial need.
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3. How can I apply for a scholarship?You can apply for scholarships during the admission process. Ensure that you provide all required documents, including entrance test scores, academic records, and any other necessary certifications.
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4. Is there a management quota or direct admission available?Apex University primarily admits students through AUCET and CUET. However, for details about specific admission pathways, you may contact the admissions office.
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5. What facilities are available for students at Apex University?Apex University provides state-of-the-art labs, a fully equipped library, modern classrooms, sports facilities, and hostel facility.
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What career options are available after completing this course?Graduates can work as Data Analysts, Machine Learning Engineers, or Business Intelligence Analysts.
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Does the program include practical projects?Yes, students work on projects like predictive modeling, data visualization, and machine learning applications.
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Are internships included in this program?Yes, students gain hands-on experience through internships in data science and analytics.
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What tools and technologies are covered?Students learn Python, R, TensorFlow, Tableau, and Hadoop.
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What is the focus of the BCA Data Science program?The program focuses on data analysis, machine learning, statistical modeling, and big data technologies.
Placement Highlights
38LPA
Highest Package
10LPA
Avg. Package
14k+
Total Placements
700+
Placement Drives
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