About the BCA in Data Science Program
The BCA program in Data Science at Sigma University is designed to equip undergraduates with the essential skills needed for success in the rapidly evolving field of data science. This comprehensive curriculum covers a wide range of topics, including data analysis, statistical modeling, machine learning, and predictive analytics. Through hands-on projects and real-world applications, students gain practical experience and develop a deep understanding of data-driven decision-making. Graduates emerge well-prepared to pursue rewarding careers as data analysts, business intelligence professionals, data engineers, and more, driving innovation and shaping the future of data science across various industries.
Career prospects
Graduates in Data Science also find themselves in high demand across various sectors, with a wide array of lucrative career paths awaiting them:
Data Scientist: Leveraging advanced statistical and analytical techniques to extract insights from data and inform strategic business decisions.
Data Analyst: Examining large datasets to identify trends, patterns, and correlations that can drive business growth and optimization.
Business Intelligence Analyst: Transforming data into actionable insights to inform business strategy, enhance operational efficiency, and drive competitive advantage.
Big Data Engineer: Building and maintaining scalable data infrastructure and platforms to support the storage, processing, and analysis of massive datasets.
Data Engineer: Designing, constructing, and managing data pipelines and systems to enable efficient data processing and analysis.
Data Architect: Developing and maintaining data architecture and frameworks to ensure data integrity, security, and accessibility across organizations.
Machine Learning Engineer: Developing and deploying machine learning models and algorithms to automate tasks and extract valuable insights from data.
Predictive Analyst: Using statistical modeling and machine learning techniques to forecast future trends and outcomes based on historical data.
Data Visualization Specialist: Creating visually compelling and interactive data visualizations to communicate insights and findings effectively to stakeholders.
These roles offer diverse opportunities for professional growth and advancement in industries such as technology, finance, healthcare, retail, and more. With the exponential growth of data and the increasing demand for skilled data professionals, graduates in Data Science are well-positioned to thrive in the digital economy and shape the future of business and society.
Program Details
Advantage At Sigma
Research Opportunities
Campus Life and Extracurricular Activities
Alumni Network
Supportive Learning Environment
Interdisciplinary approach for holistic learning
State-of-the-Art Facilities
Admission Procedure
| Composition | Name |
|---|---|
|
Affiliation |
Sigma University |
|
Approvals |
AICTE, New Delhi & UGC, New Delhi |
|
Duration |
03 Years |
|
Eligibility for Admission |
• Candidate must have 45–50% marks in class 12 to be eligible for admission. • Candidate must have passed 10+2 with a minimum of 50% score from a recognized Board having Maths as a major subject. |
|
Admission Schedule |
As per the directives of Admission Committee. Usually from May to October every year. |
|
How to Apply? |
|
|
Start Date |
July 2024 |
|
College / Campus |
Faculty of Computer Science & Applications, Sigma University Vadodara. |
|
Shifts (Working hours) |
10: 00 am to 05:00 pm |
|
Intake capacity |
60 |
Curriculum
| Sem | Course Code | Course Name | Theory (T) | Tutorial (T) | Practical (P) | Hrs | Credit | Detail Syllabus |
|---|---|---|---|---|---|---|---|---|
|
I |
1BBM01 |
Basic of Mathematics |
4 |
0 |
0 |
4 |
4 |
|
|
I |
1BCA01 |
Computer Fundamentals |
4 |
0 |
0 |
4 |
4 |
|
|
I |
1BCA02 |
Computer Programming |
2 |
0 |
4 |
6 |
4 |
|
|
I |
1BCA03 |
Web Technology |
2 |
0 |
4 |
6 |
4 |
|
|
I |
1BCA05 |
Advance Excel |
0 |
0 |
4 |
4 |
2 |
|
|
I |
1BCS01 |
Basic Communication Skills |
2 |
0 |
0 |
2 |
2 |
|
|
I |
2BOA01 |
Office Automation Tools |
0 |
0 |
4 |
4 |
2 |
|
|
I |
1NCC01/1NSS01/1SPO01 |
NCC/NSS/Sports (I) |
0 |
0 |
2 |
2 |
0 |
|
|
|
|
|
14
|
0 |
18 |
32 |
22 |
|
| Sem | Course Code | Course Name | Theory (T) | Tutorial (T) | Practical (P) | Hrs | Credit | Detail Syllabus |
|---|---|---|---|---|---|---|---|---|
|
II |
2BDM01 |
Discreet Mathematics & Calculus |
4 |
0 |
0 |
4 |
4 |
|
|
II |
2BCA01 |
Basic Programming with Python |
2 |
0 |
4 |
6 |
4 |
|
|
II |
2BCA02 |
Data Structure
|
3 |
0 |
2 |
5 |
4 |
|
|
II |
2BCA05 |
Database Management System |
3 |
0 |
2 |
5 |
4 |
|
|
II |
2BCA04 |
Object Oriented Principles with Programming Methods |
2 |
0 |
0 |
2 |
2 |
|
|
II |
2BAC01 |
Advance Communication Skills |
2 |
0 |
0 |
2 |
2 |
|
|
II |
1BES01 |
Environmental Science and Sustainable Development |
2 |
0 |
0 |
2 |
2 |
|
|
II |
2NCC01/2NSS01/2SPO01 |
NCC/NSS/Sports (I) |
0 |
0 |
2 |
2 |
0 |
|
|
|
|
|
18 |
0 |
10 |
28 |
22 |
|
Visit www.sigmauniversity.ac.in or you may visit the Admission Office at Sigma University, Vadodara.
OR
To secure admission for the B.Tech program at Sigma University, Vadodara through the Admission Committee for Professional Courses (ACPC) in the state of Gujarat, please follow the given process:
ACPC Registration: Visit the official website of ACPC (https://gujacpc.admissions.nic.in/) and register yourself as a candidate. Fill in the required details accurately and submit the registration form.
Choice Filling: After successful registration, you will be provided with login credentials. Log in to the ACPC portal and fill in your preferred choices of diploma courses and colleges, with Sigma University as your desired institution.
Document Verification: Once the choice-filling period is over, ACPC will announce a schedule for document verification. Visit the designated help centers with the necessary documents, including your educational certificates, ID proof, and category certificate (if applicable).
Merit List and Seat Allotment: ACPC will release a merit list based on your choices and the availability of seats. If you are selected, you will be allotted a seat at Sigma University, or any other preferred institute based on your rank and availability.
Fee Payment and Confirmation: Upon seat allotment, you need to pay the requisite admission fee to confirm your seat at Sigma University. Follow the instructions provided by ACPC for fee payment and complete the process within the specified time frame.
Reporting to the Institute: After fee payment, report to Sigma University as per the schedule provided by ACPC. Carry all the necessary documents, including the admission fee receipt, for verification and completing the admission formalities.
It is important to note that the admission process may vary slightly from year to year. Therefore, it is advisable to regularly check the official ACPC website and Sigma University’s admission portal for updates and specific instructions related to the current admission cycle.
