MBA Specialization in
Data Analytics & Visualization
Overview
The MBA in Data Analytics & Visualization at Career Point University, Kota is designed to equip students with the skills to analyze, interpret, and visualize complex business data. The program combines core management principles with advanced analytical techniques, preparing students to make data-driven decisions in a competitive business environment.
Students gain hands-on experience with tools like Python, R, Tableau, and Power BI, working on real-world projects and industry case studies. The curriculum emphasizes predictive analytics, business intelligence, and visualization, enabling students to transform data into actionable insights and communicate findings effectively to stakeholders.
Graduates of this specialization are prepared for careers as Data Analysts, Business Analysts, Business Intelligence Specialists, or Marketing Analysts. With a focus on practical learning, industry collaboration, and leadership development, Career Point University, Kota ensures students are future-ready professionals capable of driving strategic growth through data.
Scope of MBA Specialization in Data Analytics & Visualization
The MBA in Data Analytics & Visualization at Career Point University, Kota, opens a world of opportunities in the fast-growing domain of data-driven decision making. Graduates are equipped with the expertise to analyze complex datasets, extract actionable insights, and present them through advanced visualization tools, making them highly valuable in industries like IT, finance, e-commerce, healthcare, marketing, and consulting. With the growing reliance of businesses on data intelligence and predictive analytics, professionals skilled in data analytics are in high demand, both in India and globally. The program also prepares students for roles such as Data Analyst, Business Analyst, Analytics Consultant, Data Visualization Expert, and Decision Scientist, while laying a strong foundation for pursuing Ph.D. or specialized certifications in data science. By combining strategic management knowledge with technical analytics skills, Career Point University ensures that its MBA graduates are industry-ready, future-focused, and capable of driving informed business strategies.
Course Structure MBA Specialization in Data Analytics & Visualization
The MBA program with a specialization in Data Analytics & Visualization at Career Point University, Kota, is meticulously designed to equip students with a strong foundation in management principles, analytical thinking, and data-driven decision-making. The course spans two years, divided into four semesters, combining core management subjects with advanced analytics modules. Students learn business intelligence, data mining, predictive analytics, statistical modeling, and visualization tools such as Tableau, Power BI, and Python. The curriculum also emphasizes practical exposure through case studies, industry projects, internships, and live datasets, ensuring learners can translate analytical insights into strategic business solutions. By blending theoretical knowledge with hands-on application, the program prepares graduates for careers in data analytics, business intelligence, consulting, and strategic management, making them industry-ready professionals capable of driving informed decisions in a data-driven world.
| 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) | 6 |
| Program Linked Core | PLC | Interdeciplinary | 0 |
| Generic Elective | GE | Open courses/Generic Elective (GE) | 24 |
| 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 |
Many universities offer MBA specializations in emerging fields like Data Analytics & Visualization, enabling students to customize their learning according to their career aspirations. This program focuses on developing analytical thinking, data-driven decision-making, and proficiency in visualization tools, alongside essential entrepreneurial skills, leadership qualities, and business ethics. Graduates are well-prepared for careers in data analytics, business intelligence, consulting, strategic management, startups, or can pursue advanced studies and professional certifications to enhance their expertise in the data-driven business world.
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | CAL502 | Fundamentals of Computers | 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 | 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 | SML541 | Business Statistics | 3 | 0 | 0 | 3 | DC | 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 | Departmental Elective-3 | 3 | 1 | 0 | 4 | DE | 2nd Sem | |
| 6 | Departmental Elective-4 | 3 | 1 | 0 | 4 | DE | 2nd Sem | |
| 7 | EGL504 | Business Communication | 2 | 0 | 0 | 2 | PLC | 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 | 3 | 0 | 2 | 4 | DC | 3rd Sem |
| 4 | SML643 | Production and Operations Management | 3 | 0 | 2 | 4 | DC | 3rd Sem |
| 5 | Departmental Elective-5 | 0 | 0 | 4 | 2 | DE | 3rd Sem | |
| 6 | Departmental Elective-6 | 0 | 0 | 4 | 2 | DE | 3rd Sem | |
| 7 | SML645 | Strategic Management | 3 | 0 | 0 | 3 | DC | 3rd Sem |
| S.No. | Course Code | Course | L | T | P | Total Credit | Category | Semester |
|---|---|---|---|---|---|---|---|---|
| 1 | CAL241 | Management Information System | 3 | 0 | 0 | 3 | PLC | 4th Sem |
| 2 | SML646 | Financial Management in Industry | 3 | 0 | 0 | 3 | DC | 4th Sem |
| 3 | SML647 | Foundations of Marketing | 3 | 0 | 2 | 4 | DC | 4th Sem |
| 4 | SML649 | Research Methods and Techniques | 3 | 1 | 0 | 4 | DC | 4th Sem |
| 5 | 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 | SML722 | Departmental Elective-7 | 3 | 0 | 0 | 3 | DE | 5th Sem |
| 5 | SMD700 | Capstone | 0 | 4 | 0 | 4 | DC | 5th Sem |
| 6 | SMR700 | Seminar on Contemporary Business Issues | 0 | 2 | 0 | 2 | DC | 5th Sem |
| 7 | SML724 | Departmental Elective-8 | 3 | 0 | 0 | 3 | DE | 5th Sem |
| 8 | SML725 | Departmental Elective-9 | 3 | 0 | 0 | 3 | 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 | SML726 | Departmental Elective-10 | 3 | 0 | 0 | 3 | DE | 6th Sem |
| 6 | SML727 | Departmental Elective-11 | 3 | 0 | 0 | 3 | DE | 6th Sem |
| 7 | SML723 | Departmental Elective-12 | 3 | 0 | 0 | 3 | 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 | 0 | 0 | 3 |
| SML654 | Managing Human Resources | 3 | 0 | 0 | 3 |
| SML707 | Digital Finance | 3 | 1 | 0 | 4 |
| SML708 | Talent Acquisition and Retention | 3 | 1 | 0 | 4 |
| SML711 | Social Media Marketing | 3 | 1 | 0 | 4 |
| SML722 | Design Thinking | 3 | 0 | 0 | 3 |
| SML712 | Indian Financial System | 3 | 1 | 0 | 4 |
| SML714 | Labour Law and Industrial Relations | 3 | 1 | 0 | 4 |
| SML716 | Luxury Marketing | 3 | 1 | 0 | 4 |
| SML723 | Family Business Management | 3 | 0 | 0 | 3 |
Department
at a Glance
- Faculty Members
- Infrastructure and Facilities
- Program Offerings
- Accreditations and Affiliations
- Industry Connections
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- Student Support Services
- Events and Activities
- Alumni Engagement
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Labs
- Microsoft Innovation Center
- Microsoft - Global Technical Support Center (GTSC)
- IBM Software Lab For Emerging Technologies
- Oracle Academy Lab
- Unisys Innovation Labs
Your Department in a Nutshell
- Achievements
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Admission Criteria
- Through Eligibility & Scholarship Test (CPU-EST). For details, Click Here
- Rolling Admission: We follow rolling admission process. To apply Click Here
Fee Details
Course Fee | |
|---|---|
Admission Fee (one time) | 5000/- (at the time of admission) |
Tuition Fee | 70000/- Per Semester |
Examination Fee | 3000/- Per Semester |
Development Fee | 3000/- Per Semester |
Caution Money (one time) | 3000/- (Refundable) |
Scholarship Criteria
Scholarship For Session 2026-27
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
|---|---|---|---|---|
| Early Admission Benefit (One Time) [INR] | 3000 | 2000 | 1000 | No EAB |
| % in Graduation | Scholarship on Tuition Fees | |||
|---|---|---|---|---|
| Till 30th June | Till 15th July | Till 31st July | After 31st July | |
| Above 90% | 20% | 15% | 10% | 5% |
| 85% – 89.99% | 10% | 5% | NA | NA |
| 75% – 84.99% | 5% | NA | NA | NA |
For CPU Students ( Graduation Year 2025 or 2026)
| Scholarship in Tuition Fee | ||||
|---|---|---|---|---|
| Till 31st July | After 31st July | |||
| CPU Student (Graduating in 2025 or 2026) | 1. Waiver in Admisoin Fee Rs 5000/- 2. Scholarship 10% in Tution fee OR merit scholarship as above whichiever is higher | NA | ||
Note:
- 1. Merit scholarship is linked with admission date (irrespective of date of result declaration of previous class)
- 2. Student can avail only one type of merit scholarship scholarship (whichever is higher).
- 3. Merit Schiolarship Continuation eligibility: Above merit scholarship is only for 1st Year. For continuation of the same in subsequent year, student has to maintain CGPA >= 6.5
- 4. EAB Scholarship is given in addion to the merit scholarship.
- 5. To avail scholarship, student must deposit applicable semester fee before the cut-off date for scholarship. If student fail to do so, his/her eligibiity for availing scholarship will be cancelled.
- 6. Also, to avail merit scholarship, student has to submit supporting documents in original along with 1 set of photocopies.
Why Join MBA Specialization in Data Analytics & Visualization?
Pursuing an MBA with a specialization in Data Analytics & Visualization at Career Point University, Kota, offers numerous advantages for students aiming to leverage data-driven insights and visualizations to make strategic business decisions and drive innovation:
- High Demand for Data-Driven Leaders: In today’s digital and data-centric business environment, organizations generate massive amounts of data that require skilled professionals to analyze, interpret, and visualize effectively. Graduates with expertise in data analytics and visualization are in high demand across industries such as finance, marketing, healthcare, retail, and technology.
- Strategic Role in Business Decision-Making: Professionals specializing in data analytics play a critical role in guiding business strategies, predicting trends, optimizing operations, and identifying growth opportunities. Their ability to transform complex data into actionable insights makes them valuable assets for organizations seeking a competitive edge.
- Versatile and Transferable Skills: The MBA specialization equips students with skills that are highly adaptable across sectors and industries. Graduates can pursue careers in business intelligence, consulting, data science, analytics management, and strategic planning, or even entrepreneurial ventures leveraging data-driven insights.
- Practical and Applied Learning: The program emphasizes hands-on experience with real-world business datasets, allowing students to derive actionable insights, solve complex problems, and create compelling visualizations. This practical approach strengthens critical thinking, decision-making, and problem-solving abilities.
- Exposure to Emerging Tools and Technologies: Students gain proficiency in industry-standard tools and platforms such as Python, R, SQL, Tableau, Power BI, and advanced analytics algorithms. This ensures graduates are industry-ready and capable of adapting to evolving trends in data analytics and business intelligence.
What makes Department
of MBA Specialization in Data Analytics & Visualization unique?
The Department of MBA 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:
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Frequently Asked Questions
MBA Specialization in Data Analytics & Visualization at Career Point University
It is a two-year postgraduate program that combines management principles with advanced data analytics skills, enabling students to make data-driven business decisions and create meaningful insights through visualization tools.
The program is 2 years, divided into 4 semesters, including core management courses, specialization modules, and practical projects.
A bachelor’s degree in any discipline from a recognized university.
Minimum marks as per the university admission guidelines.
Preference for students with a basic understanding of mathematics, statistics, or computing is beneficial.
Core MBA Subjects: Marketing, Finance, Human Resources, Operations, Business Ethics, Strategic Management.
Specialization Modules: Data Analytics, Business Intelligence, Statistical Modeling, Predictive Analytics, Data Visualization using Python, R, Tableau, and Power BI.
Yes. Students engage in live projects, internships, case studies, and industry-based assignments, gaining hands-on experience in data analysis, visualization, and strategic decision-making.