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.
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BBA Specialization in
Data Analytics & Visualization

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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

  • Globally Comparable,
    Flexible Choice Based Academics
  • Exposure to Next-Gen Technologies
  • Unprecedented Industry Patronage
  • Impeccable Placements
  • Project based & Experiential Learning
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Exclusive
Labs

  • Microsoft Innovation Center
  • Microsoft - Global Technical Support Center (GTSC)
  • IBM Software Lab For Emerging Technologies
  • Oracle Academy Lab
  • Unisys Innovation Labs
View More

Your Department in a Nutshell

  • Achievements
  • Patents
  • Research
  • Expert Sessions
  • Activities
  • Labs
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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)
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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:

  • High Demand for Data Skills: In today's digital age, businesses generate vast amounts of data that require skilled professionals to analyze, interpret, and visualize. There is a growing demand for individuals with expertise in data analytics and visualization across industries such as finance, marketing, healthcare, retail, and technology.
  • Key Role in Business Decision-Making: Data analytics and visualization play a crucial role in informing strategic business decisions, identifying trends, predicting outcomes, and optimizing processes. Professionals with skills in data analysis and visualization are valuable assets to organizations seeking to gain competitive advantages and drive innovation.
  • Versatility and Transferability: The skills acquired in a BBA specialization in Data Analytics & Visualization are highly versatile and transferable across industries and sectors. Graduates have the flexibility to pursue diverse career paths in areas such as business intelligence, market research, data science, consulting, and entrepreneurship.
  • Practical Application of Theory: The specialization provides students with hands-on experience and practical skills in analyzing real-world datasets, deriving actionable insights, and creating compelling visualizations. Students have the opportunity to apply theoretical concepts to practical business problems and projects, enhancing their problem-solving abilities and critical thinking skills.
  • Emerging Technologies and Tools: Students gain exposure to cutting-edge technologies, tools, and platforms used in data analytics and visualization, such as Python, R, SQL, Tableau, Power BI, and data mining algorithms. Mastery of these tools prepares graduates to adapt to evolving industry trends and stay ahead in the rapidly changing business landscape.

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:

The department offers a curriculum that integrates the latest developments, techniques, and tools in data analytics and visualization. It includes courses covering foundational concepts, advanced methodologies, and emerging trends in the field to ensure students are well-prepared for the demands of the industry.
The department offers a curriculum that integrates the latest developments, techniques, and tools in data analytics and visualization. It includes courses covering foundational concepts, advanced methodologies, and emerging trends in the field to ensure students are well-prepared for the demands of the industry.01
The department comprises a team of experienced faculty members with expertise in data analytics, visualization, statistics, programming, and business applications. Faculty members bring a combination of academic knowledge and industry experience, providing students with insights into real-world challenges and best practices.
The department comprises a team of experienced faculty members with expertise in data analytics, visualization, statistics, programming, and business applications. Faculty members bring a combination of academic knowledge and industry experience, providing students with insights into real-world challenges and best practices.02
The department emphasizes hands-on learning experiences that allow students to apply theoretical concepts to practical scenarios. Students have access to state-of-the-art software tools, datasets, case studies, and projects that enable them to gain practical skills and build a strong foundation in data analytics and visualization.
The department emphasizes hands-on learning experiences that allow students to apply theoretical concepts to practical scenarios. Students have access to state-of-the-art software tools, datasets, case studies, and projects that enable them to gain practical skills and build a strong foundation in data analytics and visualization.03
The department maintains partnerships and collaborations with leading companies, organizations, and industry experts in the field of data analytics and visualization. These partnerships provide students with internship opportunities, guest lectures, industry projects, and networking opportunities that bridge the gap between academia and industry.
The department maintains partnerships and collaborations with leading companies, organizations, and industry experts in the field of data analytics and visualization. These partnerships provide students with internship opportunities, guest lectures, industry projects, and networking opportunities that bridge the gap between academia and industry.04
The department provides specialized facilities and resources tailored to the needs of data analytics and visualization students. This may include dedicated computer labs equipped with software tools, data repositories, visualization platforms, and access to online resources and databases for research and project work.
The department provides specialized facilities and resources tailored to the needs of data analytics and visualization students. This may include dedicated computer labs equipped with software tools, data repositories, visualization platforms, and access to online resources and databases for research and project work.05
The department offers capstone projects and research opportunities that allow students to explore advanced topics, tackle real-world challenges, and contribute to the advancement of knowledge in data analytics and visualization. Students work closely with faculty mentors to develop research proposals, conduct experiments, analyze data, and present findings.
The department offers capstone projects and research opportunities that allow students to explore advanced topics, tackle real-world challenges, and contribute to the advancement of knowledge in data analytics and visualization. Students work closely with faculty mentors to develop research proposals, conduct experiments, analyze data, and present findings.06
The department offers comprehensive career development and placement support services to help students transition from academia to the workforce successfully. This may include resume building workshops, interview preparation sessions, job fairs, alumni networking events, and internship placements with leading companies in the field.
The department offers comprehensive career development and placement support services to help students transition from academia to the workforce successfully. This may include resume building workshops, interview preparation sessions, job fairs, alumni networking events, and internship placements with leading companies in the field.07
The department emphasizes the importance of ethical and responsible data practices in data analytics and visualization. Students learn about privacy, security, bias, fairness, and transparency issues related to data collection, analysis, and interpretation, preparing them to navigate ethical challenges in their careers.
The department emphasizes the importance of ethical and responsible data practices in data analytics and visualization. Students learn about privacy, security, bias, fairness, and transparency issues related to data collection, analysis, and interpretation, preparing them to navigate ethical challenges in their careers.08
The department fosters a student-centered learning environment that encourages collaboration, creativity, critical thinking, and continuous learning. Faculty members engage students through interactive lectures, group discussions, hands-on workshops, and experiential learning activities that promote active participation and engagement.
The department fosters a student-centered learning environment that encourages collaboration, creativity, critical thinking, and continuous learning. Faculty members engage students through interactive lectures, group discussions, hands-on workshops, and experiential learning activities that promote active participation and engagement.09
Above all, the department is committed to excellence and innovation in data analytics and visualization education. It continuously seeks to enhance its programs, curriculum, teaching methodologies, and resources to meet the evolving needs of students and industry stakeholders and maintain its position at the forefront of data-driven education.
Above all, the department is committed to excellence and innovation in data analytics and visualization education. It continuously seeks to enhance its programs, curriculum, teaching methodologies, and resources to meet the evolving needs of students and industry stakeholders and maintain its position at the forefront of data-driven education.10
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Placements

0 Lakh
Highest Package Per Annum
0 K
Average Internship Stipend
0 +
Placements & Internships
6-d
13-d
12-d
7-d
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Recruiters Tie Up's

Our Students Speak

Hi, morning to all this is Priyal Pawer who pursued. Bcom (hons.) from Career Point University and let me tell you my Journey till now in this univerity was beyond amazing. This university has taught me not only to succeed in studies but also some valuable tife lessons which I will cherish throughout my life. I was a tranfred student here in my 2nd. Year and when I came to this university I realized students Should not only focus on theoretical knowledge but also inculcate themselves in co curricular activities as welI. i will be always grateful towards this university and thank you for giving my college life such. wonderful memories .
Priyal Pawar
Priyal PawarB.COM student
Company: Ixeed
Package: 5 LPA
AT career Point University, we have received an excellent education here, which makes it for more than a step between high school and The real world but to rather a stepping stone to our futures. Sometimes I think it is ironic-in each endeavor to our academic lives and we learn and grow and achieve the highest level in the Respective university. The most important life lesson I learnt in my college life is the value of relationships. Also, the student-teacher indulgence is good and provide enough knowledge for the students to learn and practice for the job ready environments. Students are easily placed with the guidance according to their skill level. The University is supportive and works with the students for them to get good options for practice & eventually placement.
RISHITA GUPTA
RISHITA GUPTA BBA- DATA ANALYTICS working with Jaro Education
Package: 8.5 LPA
Career Point University is an institution of higher learning where we learn or understand specific topics and how well we apply this knowledge in hands on situations. Our college also provides various internship programs for better future and experience . Further our faculties are helpful and understandable. They give their full efforts for our betterment and bright future.
Himanshi Dandona
Himanshi Dandona MBA
Thank you, Career Point Univercity, for grooming me with the right attributes for my professional life. I have thoroughly enjoyed working with the best academics and students of our state here.
Vansh Jain
Vansh Jain BBA Hons.
Career point university is an institution of higher learning where we learn or understand specific topics and how well we apply this knowledge in hands on situations. Our college also provides various internship programs for better future and experience . Further our faculties are helpful and understandable. They give their full efforts for our betterment and bright future. I am glad to get job offers from CPU Placement Cell with the annual package of 6 lakhs.
Kunika Jethwani
Kunika Jethwani B.Com
One of the best things about college life at CPU is that you get a new experience every day. In my college life, along with studying, Me and my friends enjoyed a lot of other things. We traveled to lots of places, had new experiences, and learned many new things. I Even Partcipated in a lot of Activities like Anchoring , Entrepreneurship Development Cell, Modelling and So on. Which helped me boost my confidence and Improved my Speaking Skills.
Karan Rajdev
Karan RajdevMBA
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How to Apply

Steps to Follow

STEP 1
Register Yourself
STEP 2
Verify Email
STEP 3
Fill Application Form Online
STEP 4
Pay Application Fee
STEP 5
Submit Application
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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.

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