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Global Institute of Science and Technology BCA in Data Science

BCA in Data Science at Global Institute of Science and Technology - Course, Fees, Admission, Seats, Syllabus

location Haldia ( West Bengal )
location Estd In: 2006
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BCA in Data Science at Global Institute of Science and Technology - Course, Fees, Admission, Seats, Syllabus
location
Haldia ( West Bengal )
location
Estd In: 2006
Last Updated on February 20, 2024 6:04 PM
The Global Institute of Science and Technology offers a program called BCA in Data Science, which is specifically designed for students interested in exploring the field of data analysis and management. This undergraduate course spans three years. Provides a well rounded curriculum that combines theoretical knowledge with practical skills in data science. It aims to equip students with the expertise to analyze interpret and handle large sets of data preparing them for various careers in the thriving field of data science. The BCA in Data Science program at Global Institute of Science and Technology is tailored to meet the needs of students from educational backgrounds. With a focus on student teaching methods the course covers essential topics such as data analytics, machine learning and big data technologies. The program fee is competitive making it accessible to a range of students who are interested in pursuing a career in data science. Enrolling in the BCA in Data Science program at Global Institute of Science and Technology is a step towards securing a future in one of todays most sought after fields. With its fees, comprehensive curriculum and emphasis on practical skills development this course is an excellent choice for students aspiring to become professionals, in the field of data science.
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Global Institute of Science and Technology BCA in Data Science Highlights 2024

Course Duration3 Years
Course LevelUndergraduate
Course Tuition Fees$12,000 per year
Mode of StudyFull Time
Institute TypePrivate

Global Institute of Science and Technology BCA in Data Science Syllabus 2024

SemesterSubjects
Semester 1Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English for Communication, Environmental Studies
Semester 2Statistics for Data Science, Python Programming, Database Management Systems, Organizational Behavior, Financial Accounting
Semester 3Data Structures and Algorithms, Machine Learning Basics, Web Technologies, Business Data Processing, Soft Skills Development
Semester 4Advanced Machine Learning, Big Data Analytics, Data Visualization, Ethics in Data Science, Elective I
Semester 5Deep Learning, Cloud Computing for Data Science, Research Methodology, Project Work (Part 1), Elective II
Semester 6Internship/Industrial Training, Project Work (Part 2), Elective III, Elective IV

Global Institute of Science and Technology BCA in Data Science Important Topics 2024

ModuleImportant Topics
Introduction to Data ScienceBasics of Data Science, Data Types, Data Life Cycle
Programming for Data SciencePython Programming, R Programming, Data Structures
Mathematics for Data ScienceLinear Algebra, Calculus, Statistics and Probability
Data Management and VisualizationSQL for Data Science, Data Cleaning, Data Visualization Tools
Machine LearningSupervised Learning, Unsupervised Learning, Model Evaluation
Deep LearningNeural Networks, Convolutional Neural Networks, Recurrent Neural Networks
Big Data AnalyticsHadoop, Spark, Big Data Processing Frameworks
Data Science ProjectProject Lifecycle, Case Studies, Capstone Project

Global Institute of Science and Technology BCA Course FAQs

What is the eligibility criteria for BCA in Data Science at Global Institute of Science and Technology?
The eligibility criteria for BCA in Data Science at Global Institute of Science and Technology require candidates to have completed 10+2 or equivalent examination from a recognized board with Mathematics as one of the subjects. A minimum aggregate score of 50% is typically required for general category students, and a relaxation in percentage is offered to reserved category students as per the government norms.
How much are the fees for BCA in Data Science at Global Institute of Science and Technology?
The fees for BCA in Data Science at Global Institute of Science and Technology can vary each academic year. However, it generally ranges between INR 1,00,000 to INR 1,50,000 per annum. For the most accurate and up-to-date fee structure, it is advisable to contact the institute directly or visit their official website.
What is the selection process for BCA in Data Science at Global Institute of Science and Technology?
The selection process for BCA in Data Science at Global Institute of Science and Technology typically involves a review of the applicant's academic records followed by a personal interview. Some cases may also require the candidate to take an entrance examination. The final selection is based on the cumulative performance in these assessments.
Is there a cut off mark for BCA in Data Science at Global Institute of Science and Technology?
Yes, there is a cut off mark for BCA in Data Science at Global Institute of Science and Technology. The cut off mark is determined based on the overall performance of applicants each year and may vary. It takes into account the scores obtained in the qualifying examination (10+2 or equivalent) and any entrance exam if applicable. For specific cut off marks, candidates are advised to check the institute's official notifications.
What are the placement opportunities for BCA in Data Science graduates from Global Institute of Science and Technology?
BCA in Data Science graduates from Global Institute of Science and Technology have good placement opportunities with companies in the IT, analytics, and data science sectors. The institute has a dedicated placement cell that conducts training sessions, workshops, and campus recruitment drives. Past graduates have been placed in roles such as Data Analyst, Business Analyst, Data Scientist, and Software Developer among top companies. The institute also provides internship opportunities to help students gain practical experience.

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