Welcome to the renowned Global Institute of Management Science (GIMS) an institution committed to nurturing the upcoming generation of data analytics professionals through our highly sought after Bachelor of Computer Applications (BCA) in Data Analytics program. At GIMS we deeply recognize the significance of data in todays digital economy and our BCA in Data Analytics has been meticulously crafted to equip students with the essential skills and knowledge needed to thrive in this ever evolving field.
**Program Fees;**
We have ensured that our BCA in Data Analytics program is priced competitively ensuring accessibility without compromising on the quality of education. The total fee for this three year program is INR 1.5 lakhs per annum, with a possibility of revisions. This comprehensive fee structure encompasses tuition fees, laboratory charges, library access and various other academic amenities.We highly encourage students to reach out to our admissions office for the most up to date information regarding fees, scholarships and financial aid options.
**Facilities for BCA in Data Analytics Students;**
At GIMS we take pride in providing cutting edge facilities to our BCA students specializing in Data Analytics. These include;
Advanced Computing Labs; Equipped with the software and analytical tools necessary for data analysis, machine learning and processing big data.
Library and Digital Resources; Access to an extensive collection of books, journals and digital resources focused on data analytics and computer science.
Collaborative Workspaces; Modern workspaces designed to promote collaboration and innovation among students.
Career Counseling and Support Services; Dedicated career services aimed at guiding students through their academic and professional journeys.
**Placements;**
Our commitment to our students success is evident through our placement program. GIMS has built industry partnerships and maintains an active placement cell that works tirelessly to ensure our graduates secure fulfilling careers in the field of data analytics. Our BCA in Data Analytics graduates have successfully secured positions with leading IT firms, consulting companies and startups offering packages. On average our graduates receive placement packages ranging from INR 4 to 6 lakhs. Many secure job offers before graduating.
**Why Choose GIMS for BCA, in Data Analytics?**
"Our curriculum has been carefully crafted in partnership with industry experts to align with the market requirements. You will have the opportunity to learn from an accomplished team of faculty members who are passionate about your success. We place an emphasis, on hands on learning providing you with practical experiences through engaging projects, internships and workshops that will equip you for the real world."
Global Institute of Management Science BCA in Data Analytics Highlights 2024
| **Highlighted Information** | **Details** |
| | |
| Duration of the Course | The course typically lasts for a period of 3 years. |
| Level of the Course | This course is designed for students. |
| Tuition Fees | The tuition fees vary depending on the region. There are scholarships available as well. |
| Mode of Study | commonly students opt for full time study but part time options may also be available. |
| Type of Institute | This program is offered by institutes. |
Please note that the specific details, such as the amount of tuition fees can differ based on several factors such as the students region, availability of scholarships and other financial aid options. Additionally although full time study is generally preferred for BCA in Data Analytics programs some institutions like the Global Institute of Management Science offer part time options to accommodate working professionals or students with commitments. It's always advisable to contact the institute for up, to date and accurate information.
Global Institute of Management Science BCA in Data Analytics Syllabus 2024
The Bachelor of Computer Applications (BCA) program with a specialization in Data Analytics is designed to provide students with the knowledge and skills to effectively analyze, manage and interpret large datasets. While the specific curriculum may vary depending on the institution there are key topics that are typically covered in a BCA program focusing on Data Analytics. These topics play a role in preparing students for a career in data analytics or data science.
1. Introduction to Data Analytics;
Fundamentals of Data Analysis
The significance of Data Analytics in Business
Understanding the Data Analytics Process
2. Programming for Data Analytics;
Python Programming
R Programming
SQL for Data Manipulation
3.. Statistics for Data Science;
Descriptive Statistics
Inferential Statistics
Linear Algebra
Calculus
4. Data Management and Manipulation;
Cleaning and Preprocessing of data
Understanding concepts of data warehousing
= Database Management Systems
5. Data Visualization;
= Principles behind visualization of data
= Tools used for data visualization (e.g., Tableau, Power BI)
= Developing dashboards
6. Machine Learning;
= Supervised Learning Techniques
= Unsupervised Learning Techniques
= Neural Networks and Deep Learning
7. Big Data Analytics;
. Introduction, to Big Data Concepts
+ Technologies used for Big Data (e.g., Hadoop, Spark)
+ Storage and Processing of Big BI Tools and Technologies
Systems that aid, in decision making
Global Institute of Management Science BCA in Data Analytics Important Topics 2024
As of my update in April 2023 I don't have access to the specific curriculum details of the BCA in Data Analytics course offered by the Global Institute of Management Science. However I can give you an overview of the key topics typically covered in a Bachelor of Computer Applications (BCA) program with a focus on Data Analytics. These topics are designed to provide students with the skills and knowledge in data analytics within the context of computer applications. Please note that for the accurate and up to date curriculum information it's best to consult the official website or directly contact the institution. Here are some important areas likely to be included;
**Introduction to Data Analytics**; This covers understanding the basics of data analytics its significance and its applications across industries.
**Foundations of Programming**; Students will learn programming languages such as Python, R or Java that're crucial, for data analysis and manipulation.
**Database Management Systems (DBMS)**; This focuses on managing databases for storing and retrieving data efficiently.
Please keep in mind that these are topics commonly included in BCA programs specializing in Data Analytics.To gain an understanding of databases it's important to learn about SQL for data querying and how to effectively manage large datasets. Additionally studying data structures and algorithms will provide insights into ways to process and analyze data efficiently. Statistical methods, both basic and advanced are crucial for interpreting and analyzing data accurately. When it comes to visualizing data, tools like Tableau, Power BI or Matplotlib in Python can be utilized to communicate findings. Machine learning algorithms play a role in predictive analytics so it's essential to delve into their introduction and applications. Understanding data technologies such as Hadoop, Spark and NoSQL databases is vital for processing and analyzing massive amounts of information. Data warehousing allows for storing volumes of data while also extracting valuable patterns or information through techniques like data mining. Business intelligence involves using data analytics to drive decision making and enhance business processes. It is also important to consider the implications and privacy concerns surrounding the collection, analysis and use of data in the field of analytics. Finally a capstone project serves as an opportunity for students to apply their knowledge by tackling real world challenges in the realm of data analytics within computer applications.
These subject areas provide a foundation, in the field of data analytics within the context of computer applications.
The curriculum is expected to change and adapt as new technologies and methodologies emerge in the field of data analytics.
