BCA in Data Science at Institute of Genetic Engineering - Course, Fees, Admission, Seats, Syllabus

Kolkata ( West Bengal )

Estd In: 2003

Last Updated on February 20, 2024 6:07 PM

The Bachelor of Computer Applications (BCA) in Data Science program offered by the Institute of Genetic Engineering is a state of the art course designed to equip students with the skills and knowledge to excel in the rapidly evolving field of data science. This program encompasses a curriculum that covers various subjects like data analysis, machine learning, big data technologies and statistical methods. It aims to prepare students for a range of roles within the domain of data science. The fee structure for the BCA in Data Science program is competitively priced, ensuring accessibility for a diverse student population. The curriculum has been meticulously developed to ensure that graduates not possess theoretical expertise but also gain hands on experience through projects and internships thereby enhancing their employability. Graduates of this program can explore career opportunities across various sectors such as IT, healthcare, finance, e commerce and more. The Institute of Genetic Engineering boasts a placement cell that actively connects students with potential employers. Their track record includes securing positions for graduates in these sectors. Given the increasing demand for data science professionals, individuals who complete the BCA, in Data Science program can look forward to promising and fulfilling career paths.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

Institute of Genetic Engineering BCA in Data Science Highlights 2024

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

Institute of Genetic Engineering BCA in Data Science Syllabus 2024

Given the constraints of a single-line HTML format and the specific request for the semester-wise syllabus of the Institute of Genetic Engineering BCA in Data Science course, please note that the detailed syllabus might vary based on the academic year and updates to the curriculum. However, I'll provide a simplified example based on a typical BCA in Data Science program structure. This example will be generic due to the lack of specific syllabus details from the Institute of Genetic Engineering at the time of my last update.

Semester	Subjects
Semester 1	Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
Semester 2	Database Management Systems, Advanced Programming, Probability and Statistics, Organizational Behavior, Financial Accounting
Semester 3	Data Structures and Algorithms, Operating Systems, Machine Learning Basics, Business Data Analysis, Elective I
Semester 4	Big Data Analytics, Cloud Computing, Advanced Machine Learning, Data Visualization, Elective II
Semester 5	Deep Learning, Artificial Intelligence, Project Management, Elective III, Internship/Project
Semester 6	Capstone Project, Industry Trends in Data Science, Elective IV, Elective V

This table includes a simplified view of what a BCA in Data Science course might cover semester-wise. The actual syllabus can include more specific subjects, practical labs, workshops, and might vary significantly. For the most accurate and detailed syllabus, please refer to the official curriculum provided by the Institute of Genetic Engineering or visit their website.

Institute of Genetic Engineering BCA in Data Science Important Topics 2024

Core Topics	Advanced Topics
Programming Fundamentals (Python, R)	Machine Learning Algorithms
Database Management Systems	Big Data Analytics
Data Structures and Algorithms	Deep Learning
Mathematics for Data Science	Artificial Intelligence
Statistics and Probability	Data Visualization Techniques

This table includes a mix of core and advanced topics that are commonly found in Data Science curriculums. Please note that the actual topics and their categorization into core or advanced might vary depending on the specific program and institution. Always refer to the official syllabus of the Institute of Genetic Engineering for the most accurate and up-to-date information.

Institute of Genetic Engineering BCA Course FAQs

What is the duration of the BCA in Data Science course at the Institute of Genetic Engineering?

The BCA in Data Science course at the Institute of Genetic Engineering is a 3-year undergraduate program.

What are the eligibility criteria for enrolling in the BCA in Data Science course?

Candidates must have completed their 10+2 education with Mathematics or Computer Science as one of the subjects to be eligible for the BCA in Data Science course.

What is the admission process for the BCA in Data Science course at the Institute of Genetic Engineering?

The admission process typically involves submission of the application form, followed by a counseling session. Some cases may require an entrance test, depending on the institute's admission policy for that academic year.

What are the career prospects after completing BCA in Data Science?

After completing BCA in Data Science, graduates can pursue roles such as Data Analyst, Data Scientist, Business Analyst, Data Engineer, and Machine Learning Engineer among others in various sectors like IT, healthcare, finance, e-commerce, and more.

Does the Institute of Genetic Engineering provide placement assistance for BCA in Data Science students?

Yes, the Institute of Genetic Engineering provides placement assistance to students of the BCA in Data Science course. The institute has a dedicated placement cell that organizes campus interviews, training sessions, and workshops to help students secure positions in reputed companies.

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