Duration:
2 Years (4 Semesters)
Universities:
1 University
Fees:
21,500/-
Per semeter
Eligibility:
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Program Overview
Online/Distance MBA in Data Science combines business acumen with advanced data analytics skills, empowering professionals to leverage data for strategic decision-making. This program is designed for individuals aiming to advance their careers in data-centric roles across various industries. It offers a comprehensive curriculum that covers essential topics, including data analytics, machine learning, big data management, and business intelligence. Emphasizing real-world applications, students engage in practical case studies and projects that tackle current industry challenges. The program provides flexible learning options, such as online and part-time formats, allowing students to effectively balance their studies with work and personal commitments. Participants benefit from the expertise of seasoned faculty who bring valuable insights and practical experience to the classroom, as well as networking opportunities with a diverse community of peers and industry professionals. Graduates acquire vital skills in statistical analysis, data visualization, and strategic thinking, preparing them for careers as Data Analysts, Business Intelligence Managers, and Data Scientists. Admission requirements typically include a bachelor’s degree and relevant work experience, making this MBA an ideal choice for those looking to thrive in the data science field.
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To embark on your journey as an MBA candidate, you’ll typically need to meet one of the following eligibility requirements:
- Completion of a Bachelor’s Degree: A recognized undergraduate degree in any discipline from a recognized university.
- Minimum Marks: Most institutions require a minimum percentage (often around 40-60%) in your undergraduate studies.
- Entrance Exam: Many MBA programs require candidates to qualify for entrance exams such as CAT, MAT, XAT, or GMAT.
- Comprehensive Curriculum : Covers essential topics such as data analytics, machine learning, big data management, and business intelligence.
- Real-World Applications: Emphasizes practical case studies and projects to equip students with the skills to address real industry challenges.
- Flexible Learning Options: Offers online and part-time study formats, allowing students to balance education with work and personal commitments.
- Experienced Faculty: Learn from industry experts and academics who bring valuable insights and practical experience to the classroom.
- Networking Opportunities: Access to a diverse community of peers and industry professionals to foster valuable connections and collaborations.
- Skill Development Focus: Prioritizes the development of essential skills like statistical analysis, data visualization, and critical thinking.
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Course Syllabus
Duration: 2 Years (4 Semesters)
Rating: 4.4/5
4 credits per subject throughout the course
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Key Role of MBA Data Science Management
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Admission Procedure
Online Form
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CIIS is pioneer leading organization to provide Distance Education across world and traditional regular courses in India. We are imparting education to thousands of students and working professionals in India through various UGC, AICTE, Ministry of HRD Govt. of India approved national and internationally acclaimed Universities.
It combines business management skills with data analytics expertise to support data-driven decision-making in organizations.
Applicants typically need a bachelor’s degree, strong quantitative skills, relevant work experience (optional in some cases), and sometimes GMAT/GRE scores.
Core subjects often cover areas like machine learning, big data, business analytics, data visualization, and strategic decision-making.
Graduates can work as Data Scientists, Business Analysts, Data Engineers, Analytics Managers, or Business Intelligence Analysts.
Fields like technology, finance, healthcare, e-commerce, retail, and consulting actively recruit professionals with this skill set.
An MBA emphasizes leadership and business strategy alongside data science, while a Master’s focuses more on technical and analytical depth.
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