Bachelor of Computer Application (BCA - Specialization)
Data Analytics (Kochi)
Eligibility
The minimum qualification required is a pass in the 10+2 Science or Commerce with Maths/Statistics/Computer Science/Information Practice as one of the core subjects in PUC / ISC / CBSE or an equivalent board.
Overview
The JAIN (Deemed-to-be University) Kochi’s Bachelor of Computer Application (BCA) with Specializations (Data Analytics) programme delves into the diverse representation of facts, encompassing words, numbers, images, videos, and observations, collectively known as data. Data analytics involves the gathering, organizing, and transformation of these facts into meaningful conclusions, forecasts, and decision-making frameworks. BCA Data Analytics College in Kochi, the programme focuses on training students in fundamental data analytics concepts such as data mining, optimization, visualization, and stimulation, along with providing technical expertise for effective data management. Students are equipped with industry-relevant skills to navigate the complexities of a modern, technologically advanced, and global setting.
The program offers two main tracks:
(i) a 3-year undergraduate degree and
(ii) a 4-year undergraduate degree with Honours, emphasizing research.
|
Description |
4 years Degree programme |
|---|---|
|
Award |
Bachelor of Computer Application (BCA) with Specialisations Data Analytics |
|
No. of Credits |
167 minimum and as specified |
|
Eligibility |
As per University norms |
Study Campus
JAIN (Deemed-to-be University), Kochi
Knowledge Park, Nirmal Infopark
Kakkanad, Kochi - 682 042
Telephone : 0484 435 5555
Email : [email protected]
Curriculum Structure
- Language I
- Kannada
- Sanskrit
- Hindi
- Additional English
- English I
- Fundamentals of Mathematics
- Fundamentals Computer Applications
- Programming in C
- Programming in C Lab
- Fundamentals of Computer Applications Lab
- Mind Management & Human Values – 1
- Language II
- Kannada
- Sanskrit
- Hindi
- Additional English
- English II
- Operating System
- Java Programming
- Data Structures Using C
- Java Programming Lab
- Data Structures Using C Lab
- PCL 1 – Research and Entrepreneurship Project
- Mind Management and Human Values II
- Software Engineering
- Database Management Systems
- Computer Networks
- Environment Science
- Personality & Career Management
- Database Management Systems Lab
- Computer Networks Lab
- Introduction to Data Analytics
- Probability & Statistics
- Python Programming
- Indian Constitution
- Employability Skills
- Data Analytics Lab
- Python Programming Lab
- PCL 2 - Research and Entrepreneurship Project
- Data Warehousing and Data Mining
- R Programming
- NoSQL Database Management Systems or Cloud Data Analytics
- Technical Writing
- Data Warehouse and Data Mining Lab
- R Programming Lab
- Research Methodology
- Big Data Analytics
- Machine Learning
- Data Visualization or Text Analytics
- PCL 3 - Research and Entrepreneurship Project
- Research Publication
- Project / Internship
Course Highlights
- A one-of-a-kind training with valuable input from premier analytics businesses, with a good balance of theory and hands-on experience.
- The programme includes intensive coursework, case studies, and projects.
- Students learn about popular tools/software such as SQL, Excel, Hadoop, MapReduce, Pig, Hive, Neo4j, Casandra, MongoDB, HBase, Python, and even Statistical Packages such as R, SAS, and Advanced Excel, R Programming, Data Science Tools such as Tableau, Microsoft Power BI, Computer Based Optimization Techniques, Machine Learning Theory, Big Data Analytics, Probability Statistics and Techniques, Data Warehouse, and Data Mining.
Career pathway
With an elective-rich BCA Data Analytics College in Kochi, students will have a competitive advantage in the job market as they get ready for their future careers. Students enrolled in the programme receive training in the fundamentals of computer science, including creating algorithms, controlling and organising computers, creating applications utilising a variety of programming languages, and processing and organising information. Applying new technology and abilities in their working workspace will help students become productive professionals and develop the ability to adapt to a fast-changing environment. Their ability to collaborate effectively and innovate will enable them to tackle social, technical, and business obstacles. A handful of the many employment options that this degree opens up are given below:
- Data Scientists
- Data Engineers
- Healthcare Analysts
- Statisticians
- Business Analysts
- Technical Team Leaders
- Big Data Analysts
- Quantitative Analysts
- Project Managers
- Market Research Analysts
- Computer System Analysts