About the MCA in Data Science Program
MCA in Data Science at Sigma University is meticulously crafted to provide students with advanced skills essential for thriving in the rapidly evolving field of data science. Our comprehensive curriculum spans various areas such as data analysis, statistical modeling, machine learning, and predictive analytics. Through hands-on projects and real-world applications, students acquire practical experience and cultivate a profound understanding of data-driven decision-making. Graduates emerge poised to pursue fulfilling careers as data analysts, business intelligence professionals, data engineers, and more, playing a pivotal role in driving innovation and shaping the future of data science across diverse industries.
Career prospects
MCA in Data Science graduates find themselves in high demand across various sectors, with a plethora of promising career paths awaiting them:
Data Scientist: Leveraging advanced statistical and analytical techniques to extract insights from data and drive strategic business decisions.Â
Data Analyst: Examining large datasets to uncover trends, patterns, and correlations for optimizing business processes and decision-making.Â
Business Intelligence Analyst: Converting data into actionable insights to inform business strategies, enhance efficiency, and gain a competitive edge.Â
Big Data Engineer: Developing and managing scalable data infrastructure to support the storage, processing, and analysis of large datasets.Â
Data Engineer: Designing and implementing data pipelines and systems to facilitate efficient data processing and analysis.Â
Data Architect: Creating and maintaining data architecture to ensure integrity, security, and accessibility across organizations.Â
Machine Learning Engineer: Developing and deploying machine learning models to automate tasks and derive insights from data.Â
Predictive Analyst: Utilizing statistical modeling and machine learning techniques to forecast future trends and outcomes based on historical data.Â
Data Visualization Specialist: Creating visually engaging data visualizations to effectively communicate insights to stakeholders.Â
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 excel in the digital economy and shape the future of business and society.
Program Details
| Composition | Name |
|---|---|
|
Affiliation |
Sigma University |
|
Approvals |
AICTE, New Delhi & UGC, New Delhi |
|
Duration |
02 Years |
|
Eligibility for Admission |
• Candidate shall have passed Higher Secondary Examination (Grade 12) or equivalent stage of education • The candidate must have a bachelor's degree of at least 3 years course. |
|
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 |
1MDS01 |
Statistical Methods in Decision making |
3 |
2 |
0 |
5 |
4 |
|
|
I |
1MCA01 |
Operating System |
2 |
0 |
2 |
4 |
3 |
|
|
I |
1MCA02 |
Object Oriented Programming with JAVA |
2 |
0 |
4 |
6 |
4 |
|
|
I |
1MCA03 |
Web Frameworks |
2 |
0 |
4 |
6 |
4 |
|
|
I |
1MDS02 |
Introduction to Python Programming |
2 |
0 |
4 |
6 |
4 |
|
|
I |
1MCA05 |
Cyber Laws and Security |
2 |
0 |
0 |
2 |
2 |
|
|
I |
1MCA06 |
Computer Organization and Architecture |
2 |
2 |
0 |
4 |
3 |
|
|
|
|
|
15 |
4 |
14 |
33 |
24 |
|
| Sem | Course Code | Course Name | Theory (T) | Tutorial (T) | Practical (P) | Hrs | Credit | Detail Syllabus | |
|---|---|---|---|---|---|---|---|---|---|
|
II |
2MDS01 |
R Programing for Data Science |
3 |
0 |
2 |
5 |
4 |
||
|
II |
2MCA01 |
Design & Analysis of algorithms |
2 |
0 |
2 |
4 |
3 |
||
|
II |
2MDS02 |
Data Mining |
3 |
0 |
2 |
5 |
4 |
||
|
II |
2MDS03 |
Data Visualization & Analysis |
3 |
0 |
2 |
5 |
4 |
||
|
II |
2MCA04 |
Computer Networks and Data communication |
2 |
0 |
4 |
6 |
4 |
||
|
II |
2MCY03 |
Computer Cryptography and Network Security |
2 |
0 |
2 |
4 |
3 |
|
|
|
|
|
|
15 |
0 |
14 |
29 |
22 |
|
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
Visit www.sigmauniversity.ac.in or the Admission Office at Sigma University, Vadodara.
OR
To secure admission for the MCA 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 receive 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 concludes, 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 seat availability. If 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, 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 necessary documents, including the admission fee receipt, for verification and completing admission formalities.
Please 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.
