BCA in Data Science at OM Sterling Global University - Course, Fees, Admission, Seats, Syllabus

Hisar ( Haryana )

Estd In: 2008

Last Updated on February 15, 2024 4:00 PM

OM Sterling Global University is at the forefront of educational advancements offering a Bachelor of Computer Applications (BCA) program in Data Science. This program has been carefully designed for aspiring data scientists providing them with a course that equips them with foundational knowledge and advanced skills needed to thrive in the ever changing field of data science. The curriculum combines understanding with practical exposure ensuring that students gain expertise in key areas such as data analysis, machine learning, big data technologies and artificial intelligence. The BCA program in Data Science at OM Sterling Global University creates an environment that fosters learning and innovation. Students are encouraged to participate in hands on projects, workshops and seminars led by industry experts. These opportunities provide real world experience and a deeper understanding of the data science landscape. The universitys modern facilities including state of the art laboratories and computing resources support students academic pursuits and research endeavors. It's a choice for those who are eager to enter the world of data science. With a focus on preparing students, for careers this program aims to develop skilled data scientists who are ready to tackle the challenges of the digital age.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

OM Sterling Global University BCA in Data Science Highlights 2024

Course Duration	Course Level	Course Tuition Fees	Mode of Study	Institute Type
3 Years	Undergraduate	Varies by Year	Full Time	Private University

OM Sterling Global University BCA in Data Science Syllabus 2024

Semester	Subjects
Semester 1	English, Mathematics for Computer Science, Introduction to Data Science, Programming in Python, Computer Fundamentals and Office Automation, Environmental Studies, Python Lab, Computer Fundamentals and Office Automation Lab
Semester 2	Advanced English, Advanced Mathematics for Computer Science, Database Management Systems, Data Structures, Operating Systems, Human Values & Professional Ethics, Data Structures Lab, DBMS Lab
Semester 3	Discrete Mathematics, Object Oriented Programming with Java, Computer Networks, Statistics for Data Science, Web Technologies, Skill Enhancement Course (SEC-1), Java Lab, Web Technologies Lab
Semester 4	Software Engineering, Algorithm Design and Analysis, Big Data Analytics, Cloud Computing, Elective 1 (Choose any one: Machine Learning, Artificial Intelligence), Skill Enhancement Course (SEC-2), Big Data Analytics Lab, Cloud Computing Lab
Semester 5	Data Visualization, Elective 2 (Choose any one: Internet of Things, Cyber Security), Elective 3 (Choose any one: Block Chain Technology, Quantum Computing), Open Elective, Project Work - I, Internship
Semester 6	Project Work - II, Comprehensive Viva

OM Sterling Global University BCA in Data Science Important Topics 2024

Course Component	Important Topics
Programming Fundamentals	Python, Java, C++
Database Management	SQL, NoSQL, Data Warehousing
Statistics for Data Science	Descriptive Statistics, Inferential Statistics, Probability
Data Analysis	Data Preprocessing, Exploratory Data Analysis, Visualization
Machine Learning	Supervised Learning, Unsupervised Learning, Deep Learning
Big Data Technologies	Hadoop, Spark, Flink
Data Security	Cybersecurity Fundamentals, Data Privacy, Ethical Hacking
Cloud Computing	AWS, Azure, Google Cloud Platform
Project Work	Capstone Projects, Internships, Industry Projects

This table provides a general framework of topics that are typically important in a Bachelor of Computer Applications (BCA) in Data Science program. The actual course content might include more specific subjects or different areas of focus, so it's essential to consult the official curriculum provided by OM Sterling Global University for the most accurate information.

OM Sterling Global University BCA Course FAQs

What is the fee structure for the BCA in Data Science at OM Sterling Global University?

The fee structure for the BCA in Data Science at OM Sterling Global University is subject to change each academic year. For the most accurate and up-to-date information, please visit the university's official website or contact the admissions office directly.

Are there any entrance exams required for admission to the BCA in Data Science program at OM Sterling Global University?

Admission to the BCA in Data Science program at OM Sterling Global University typically does not require a specific entrance exam. However, candidates may need to undergo a university-level screening process or interview. It's best to check the latest admission criteria on the university's official website.

What is the selection process for the BCA in Data Science at OM Sterling Global University?

The selection process for the BCA in Data Science at OM Sterling Global University generally involves a review of the applicant's academic records, performance in any conducted interviews or screening processes, and fulfillment of the basic eligibility criteria. Specific details about the selection criteria can be found on the university's admissions page.

Can I apply for scholarships for the BCA in Data Science program at OM Sterling Global University?

Yes, OM Sterling Global University offers scholarships to eligible students based on various criteria such as academic excellence, sports achievements, and financial need. Interested candidates should apply for scholarships as per the guidelines provided on the university's website and ensure they meet the eligibility criteria.

What are the career prospects after completing a BCA in Data Science from OM Sterling Global University?

After completing a BCA in Data Science from OM Sterling Global University, graduates can pursue a wide range of career opportunities in fields such as data analysis, data engineering, business intelligence, machine learning, and more. The program equips students with the necessary skills to work in technology firms, research organizations, and any industry that relies on data-driven decision-making.

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