BCA in Data Science at Swami Rama Himalayan University - Course, Fees, Admission, Seats, Syllabus

Dehradun ( Uttarakhand )

Estd In: 2013

Last Updated on February 20, 2024 4:58 PM

Swami Rama Himalayan University, located in the foothills of the Himalayas offers an innovative Bachelor of Computer Applications (BCA) program in Data Science. This program is designed to equip students with the skills and knowledge to excel in the growing field of data science. Spanning over three years the curriculum focuses on computer applications while providing training in data science, analytics and their application across various industries. The program blends understanding with practical experience to ensure that students are well versed in essential areas such as programming languages, data structures, machine learning, big data analytics and database management systems. Emphasizing hands on learning through projects, workshops and internships enables students to apply their knowledge to real world challenges and stay up to date with the technological advancements. Swami Rama Himalayan Universitys BCA program in Data Science is specifically designed for individuals aspiring to build a career in data science and analytics. With a faculty consisting of educators and industry professionals this program offers a comprehensive educational experience that prepares students for success in the global job market while nurturing their skills, as proficient data scientists.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

Swami Rama Himalayan University BCA in Data Science Highlights 2024

Course Duration	Course Level	Fee	Mode of Study	Institute Type
3 Years	Undergraduate	Varies	Full-time	University

Swami Rama Himalayan University BCA in Data Science Syllabus 2024

As of my last update in April 2023, I don't have direct access to the specific course syllabi of universities, including Swami Rama Himalayan University's BCA in Data Science program. However, I can guide you on how a typical BCA in Data Science syllabus might look like in a semester-wise format, and you can adjust the content according to the specific details you might have or obtain from the university's official resources. Below is a generic example of what the syllabus for a BCA in Data Science might look like, formatted in a single-line HTML table. Please note, this is a simplified and generic example and should not be taken as the actual syllabus from Swami Rama Himalayan University:

Semester	Subjects
Semester 1	Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
Semester 2	Statistics for Data Science, Python Programming, Database Management Systems, Organizational Behavior, Digital Electronics
Semester 3	Data Structures and Algorithms, Machine Learning Basics, Web Technologies, Operating Systems, Soft Skills
Semester 4	Advanced Machine Learning, Big Data Analytics, Cloud Computing, Ethics in AI and Data Science, Elective I
Semester 5	Data Visualization, Deep Learning, Natural Language Processing, Project Work I, Elective II
Semester 6	Capstone Project, Industry Internship, Elective III, Elective IV

This table is structured to show the semester in the first column and the subjects taught in that semester in the second column. Remember, the actual subjects, their order, and the electives offered can vary significantly between institutions and specific programs. For the most accurate and up-to-date syllabus, please consult the official website of Swami Rama Himalayan University or contact their academic office directly.

Swami Rama Himalayan University BCA in Data Science Important Topics 2024

Module	Important Topics
Programming Fundamentals	Introduction to Programming, Data Types, Control Structures, Functions, Arrays
Data Structures and Algorithms	Arrays, Stacks, Queues, Linked Lists, Trees, Graphs, Sorting and Searching Algorithms
Database Management Systems	DBMS Concepts, SQL, Normalization, ER Models, Transactions and Concurrency Control
Mathematics for Data Science	Linear Algebra, Calculus, Statistics and Probability, Discrete Mathematics
Machine Learning	Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks
Big Data Analytics	Hadoop Ecosystem, Spark, Big Data Processing Frameworks, Data Lakes
Data Visualization	Principles of Data Visualization, Tools (Tableau, Power BI), Dashboard Design
Python Programming	Python Basics, Data Structures, Libraries (NumPy, Pandas), Data Manipulation

Swami Rama Himalayan University BCA Course FAQs

What is the duration of the BCA in Data Science specialization at Swami Rama Himalayan University?

The BCA in Data Science specialization at Swami Rama Himalayan University is a 3-year undergraduate program.

What are the eligibility criteria for enrolling in the BCA in Data Science program at Swami Rama Himalayan University?

To enroll in the BCA in Data Science program, candidates must have completed their 10+2 or equivalent examination with Mathematics as a subject and secured a minimum aggregate percentage as specified by the university.

What kind of career opportunities can I expect after completing the BCA in Data Science from Swami Rama Himalayan University?

After completing the BCA in Data Science, graduates can pursue careers in various fields such as data analysis, data science, machine learning engineering, business intelligence, and more in sectors like IT, healthcare, finance, e-commerce, and others.

Does Swami Rama Himalayan University provide placement assistance for BCA in Data Science students?

Yes, Swami Rama Himalayan University has a dedicated placement cell that provides placement assistance, career counseling, and helps in securing internships and job opportunities for its BCA in Data Science students.

Are there any internship opportunities available for BCA in Data Science students at Swami Rama Himalayan University?

Yes, the university encourages BCA in Data Science students to undertake internships during their course of study. The placement cell assists in finding relevant internships in industries related to data science and analytics.

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