BBA Specialization in Data Analytics & Visualization | Career Point University, Kota

CPUEST for B.Tech/ BCA/ BBA/ MBA/ MCA

  • Eligibility: Only for students seeking admission to B.Tech, BCA, BBA,  MBA, MCA.
  • Mode of Test - Proctored Online
    1. At Center (CP Tower)
    2. At Home
  • Test Date
    1. Scheduled Dates at Center 
    2. On Demand
    3. Schedule Dates

      Phase

      Saturday

      Sunday

      Time

      Phase-1 

      12 April

      13 April


      Slot1: 10:00 am to 11:30 am

      Slot 2: 04:00 pm to 05:30 pm

      19 April

      20 April

      26 April

      27 April

      Phase-2

      03 May

      04 May




      10:00 am to 11:30 am

      04:00 pm to 05:30 pm

      10 May

      11 May

      17 May

      18 May

      24 May

      25 May

      31 May

       

      Phase-3

       

      01 June




      10:00 am to 11:30 am

      04:00 pm to 05:30 pm

      07 June

      08 June

      14 June

      15 June

      21 June

      22 June

      28 June

      29 June

  • Test Pattern

    Test For

    Syllabus

    Duration

    Max Marks

    B.Tech

    Aptitude Test

    90 Mins

    180

    BCA

    Aptitude Test

    60 Mins

    120

    MCA

    Aptitude Test

    60 Mins

    120

    BBA

    Aptitude Test

    60 Mins

    120

    MBA

    Aptitude Test

    60 Mins

    120

  • Scholarship: 10% based on performance in CPU-EST

Website/News paper
Scholarship:  up to 50% based on performance in qualifying exam / Scholarship Tests

Scholarship Offering Guidelines for Team Leads and Counsellors:

  • Those who are getting scholarship on the basis of past academic performance should not be advised to appear for scholarship unless it is required for conversion with higher scholarship.

  • Those who are not getting any scholarship may be advised to appear for scholarship to offer some discount in fee and create urgency for taking admission.

BBA Specialization in
Data Analytics & Visualization

Overview

Data Analytics has proven its worth time and again by helping businesses examine structured and unstructured datasets and extract useful information so key stakeholders can make more informed, more effective decisions. Analytics can be prescriptive, predictive, diagnostic, and/or descriptive to produce insights, observe trends, compare metrics, and more.

The graduate and post-graduate programmers in Data Analytics at CPU, Kota are about providing an innovative education filled with discovery, and dissemination of knowledge.

The reason data analytics is limited might be simple enough. Data analytics helps businesses understand the data they have collected. More precisely, it helps them become cognizant of the performance metrics within the collected data that are most impactful to the business. And it can provide a clearer picture of the business conditions that are of greatest concern to decision-makers.

University's Accomplishments and Impact

3000+

Placements So Far

66 Lakhs

Highest Package

30

Startups

130

Patent Published

1250+

Research Publication

905

National & Int'l Journal

Trust of more than, 10,000 Students

Scope of BBA Specialization in Data Analytics & Visualization

Graduates of this program can work as data analysts, data scientists, business analysts, and data visualization specialists. They can find opportunities in industries such as IT, finance, healthcare, and marketing, where data-driven decision-making is crucial.

Course Structure BBA Specialization in Data Analytics & Visualization

Our B.Tech program in Artificial Intelligence and Machine Learning (AI & ML) combines theoretical and practical knowledge, offering a curriculum that covers programming, data structures, machine learning, deep learning, natural language processing, and big data analytics. The program provides a strong foundation in mathematics and statistics, along with specialized AI & ML topics.

The following table outlines the comprehensive course structure of the B.Tech AI & ML program. It is organized into core, elective, interdisciplinary, and skill enhancement components. Each category specifies the type of courses, their descriptions, and the corresponding credits, ensuring a well-rounded academic experience with a balance of foundational knowledge, research exposure, and professional ethics:

Category Short Name Description Credits
Departmental Core DC Discipline Specific Core Courses (DSC) 72
Departmental Core DC Project / Dissertation / Field Study / Survey 4
Departmental Core DC Seminar 2
Departmental Core DC Internship / on Job Experience 0
Departmental Core DC Research Credit Course 0
Departmental Elective DE Discipline Specific Elective Courses(DSE) 8
Program Linked Core PLC Interdeciplinary 0
Generic Elective GE Open courses/Generic Elective (GE) 22
University Core UC Ability Enhancement Courses (AEC) 4
University Core UC Skill Enhancement Courses (SEC) 8
Value Added Courses common for all UG (VAC) – Non Graded
University Core UC NSS/NCC 2
University Core UC Envionmental Science 2
University Core UC Human Values and Professional Ethics 2
This structure ensures students gain technical expertise, interdisciplinary perspectives, and ethical and environmental awareness, preparing them for dynamic careers in AI and ML.
S.No. Course Code Course L T P Total Credit Category Semester
1 CSL522 Overview of Data Science, Data Analytics & Artificial Intelligence 2 0 2 3 PLC 1st Sem
2 Departmental Elective-1 3 1 0 4 DE 1st Sem
3 Departmental Elective-2 3 1 0 4 DE 1st Sem
4 MAL507 Business Mathematics 3 0 0 3 PLC 1st Sem
5 SML520 Management Mastery: Concepts for Success 2 0 0 2 DC 1st Sem
6 SML516 Accounting for Managers 3 1 0 4 DC 1st Sem
7 EGL504 Business Communication 2 0 0 2 PLC 1st Sem
8 SML517 Managerial Economics 3 0 0 3 DC 1st Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 SML550 Business Dynamics: Insights into the Environment 2 0 0 2 DC 2nd Sem
2 CAL555 Data Analysis Using Python 2 0 2 3 PLC 2nd Sem
3 SML542 Business Law 3 1 0 4 DC 2nd Sem
4 SML543 Cost Analysis & Control 3 1 0 4 DC 2nd Sem
5 EGL553 Applied English 2 0 2 3 PLC 2nd Sem
6 Departmental Elective-3 3 1 0 4 DE 2nd Sem
7 SML561 Office Management 2 0 0 2 DC 2nd Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 SML640 Management Accounting 3 0 0 3 DC 3rd Sem
2 SML641 Organizational Behaviour 3 0 0 3 DC 3rd Sem
3 SML642 Entrepreneurship Development 2 0 0 2 DC 3rd Sem
4 CSL651 Statistics & Foundation of Data Analytics 2 0 2 3 PLC 3rd Sem
5 CSL652 R Programming for Data Science & Data Analytics 1 0 2 2 PLC 3rd Sem
6 Departmental Elective-4 3 1 0 4 DE 3rd Sem
7 Departmental Elective-5 3 1 0 4 DE 3rd Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 CSL654 Data Analytics and Visualization-Tools & Techniques 2 0 2 3 PLC 4th Sem
2 SML646 Financial Management in Industry 3 0 0 3 DC 4th Sem
3 SML647 Foundations of Marketing 2 0 0 2 DC 4th Sem
4 Departmental Elective-6 3 1 0 4 DE 4th Sem
5 Departmental Elective-7 3 1 0 4 DE 4th Sem
6 CSL653 Machine Learning for Business 3 0 2 4 PLC 4th Sem
7 MAL680 Operation Research 3 0 0 3 DC 4th Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 SML701 Supply Chain Management 2 0 0 2 DC 5th Sem
2 SML702 International Business 2 0 0 2 DC 5th Sem
3 SML704 Quality Excellence: A Journey of Continuous Improvement 2 0 0 2 DC 5th Sem
4 SMD700 Capstone 2 0 0 2 DC 5th Sem
5 SMR700 Seminar on Contemporary Business Issues 0 4 0 4 DC 5th Sem
6 Departmental Elective-8 0 2 0 2 DE 5th Sem
7 Departmental Elective-9 3 1 0 4 DE 5th Sem
S.No. Course Code Course L T P Total Credit Category Semester
1 SML718 Resilient Leadership Development 2 0 0 2 DC 6th Sem
2 SML719 Indian Economy 2 0 0 2 DC 6th Sem
3 SML720 Export, Import Policy and Documentation 2 0 0 2 DC 6th Sem
4 SML728 Risk Resilience: Navigating Uncertainty with Insurance Innovations 2 0 0 2 DC 6th Sem
5 Departmental Elective-10 0 0 8 4 DE 6th Sem
Course Code Course L T P Credit
SML518 Social Sensitivity Skills 3 1 0 4
SML519 Corporate Image Building 3 1 0 4
SML544 Business Ethics 3 1 0 4
SML560 Occupational Health and Safety 3 1 0 4
SML644 Reading Cityscapes: Kota Histories & Economic Development 3 1 0 4
SML653 Business At The Bottom of The Pyramid 3 1 0 4
SML648 Event Management 3 1 0 4
SML654 Zen And The Executive Mind 3 1 0 4
CSL754 Risk and Fraud Analytics 3 0 2 4
CSL755 Supply Chain Analytics 2 0 2 3
CSP702 Case Studies and Projects in Data Analytics & Visualization 0 0 8 4
SML723 Family Business Management 3 0 0 3

Department
at a Glance

Exclusive
Labs

Your Department in a Nutshell

Eligibility & Fee Details

For Indian Students :

Course Fee
Admission Fee (one time)
5000/- (at the time of admission)
Tuition Fee
34000/- Per Semester
Examination Fee
3000/- Per Semester
Development Fee
2000/- Per Semester
Caution Money (one time)
3000/- (Refundable)

Scholarship Criteria

Based on performance in qualifying exam

% in Qualifying Class [1] Scholarship on Tuition Fee
Above 90% 20%
85% – 89.99% 10%
75% – 84.99% 5%
  • Early Admission Benefits Upto Rs. 3000/- Admission Taken Before 15th July 2024
  • Scholarship in Tuition fee (for all 6 semesters): up to 20% based on academic performance.

Why Join BBA Specialization in Data Analytics & Visualization?

Joining a Bachelor of Business Administration (BBA) specialization in Data Analytics & Visualization offers several compelling reasons for students interested in leveraging data-driven insights and visualizations to drive business decisions and innovation. Here are some key reasons to consider pursuing this specialization:

What makes Department
of BBA Specialization in Data Analytics & Visualization unique?

The Department of BBA Specialization in Data Analytics & Visualization stands out due to several distinguishing features and characteristics that set it apart from other programs. Here are some factors that contribute to its uniqueness:

Placements

0 Lakh
Highest Package Per Annum
0 K
Average Internship Stipend
0 +
Placements & Internships

Recruiters Tie Up's

Our Students Speak

How to Apply

Steps to Follow

Frequently Asked Questions

BBA Specialization in Data Analytics & Visualization at Career Point University

What is the duration of the BBA Specialization in Data Analytics & Visualization program at Career Point University?

The BBA Specialization in Data Analytics & Visualization program at Career Point University typically has a duration of three years, divided into six semesters.

What are the eligibility criteria for admission to the BBA Specialization in Data Analytics & Visualization program?

Eligibility criteria may vary, but typically, candidates must have completed their 10+2 education from a recognized board or institution with a minimum aggregate score.

What is the curriculum structure of the BBA Specialization in Data Analytics & Visualization program?

The curriculum includes core business courses along with specialized courses in data analytics, data visualization, statistics, programming, and business intelligence. Students learn to analyze data, derive insights, and create visualizations using tools like Python, R, Tableau, and Power BI.

Does Career Point University offer internship opportunities as part of the BBA Specialization in Data Analytics & Visualization program?

Yes, Career Point University provides internship opportunities for students enrolled in the BBA Specialization in Data Analytics & Visualization program. Internships allow students to gain practical experience, apply classroom knowledge to real-world scenarios, and build professional networks in the industry.

What are the career prospects after completing the BBA Specialization in Data Analytics & Visualization program?

Graduates of the BBA Specialization in Data Analytics & Visualization program can pursue diverse career opportunities in areas such as business intelligence, data analysis, data visualization, market research, consulting, and decision support roles across various industries.

Are there any opportunities for further education after completing the BBA Specialization in Data Analytics & Visualization program?

Yes, students can opt for further education such as Master of Business Administration (MBA), Master of Science (MS) in Data Analytics, or specialized master’s degrees in related fields to enhance their knowledge and career prospects.

Is the BBA Specialization in Data Analytics & Visualization program recognized and accredited?

Career Point University’s BBA Specialization in Data Analytics & Visualization program may be recognized and accredited by relevant regulatory bodies and accrediting agencies, ensuring quality education and compliance with industry standards.

What facilities and resources are available to students enrolled in the BBA Specialization in Data Analytics & Visualization program?

Students enrolled in the program have access to specialized computer labs, software tools, datasets, libraries, online resources, and faculty support to facilitate their learning and research activities.

How can prospective students apply for admission to the BBA Specialization in Data Analytics & Visualization program?

Prospective students can typically apply for admission to the BBA Specialization in Data Analytics & Visualization program online through the university’s official website or by contacting the admissions office for detailed application procedures and requirements.

Enquiry Now
Enquiry Now