Online MBA in Data Science and Analytics (Dual)

Online MBA in Data Science and Analytics (Dual)

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The Online MBA in Data Science and Analytics is a two-year master's program for professionals looking to accelerate their careers by gaining expertise in data-driven decision-making.

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Offered By -3 Universities

Course Duration - 2 years

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Online MBA in Data Science and Analytics (Dual)

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Online MBA in Data Science and Analytics (Dual) : Overview

Overview of The Online MBA in Data Science and Analytics

The Online MBA in Data Science and Analytics is a two-year master's program for professionals looking to accelerate their careers by gaining expertise in data-driven decision-making. This course provides a strong foundation in data science concepts and their application in business settings.

The curriculum covers topics like statistics, Python, R, data visualization, machine learning, predictive modeling, big data analytics, and more. Students work on real-world projects in domains like marketing, finance, healthcare, etc., to get hands-on experience: expert faculty guide projects and career planning. Upon completion, graduates can take on roles like Data Analyst, Business Intelligence Developer, Data Science Manager, etc., and drive data-led growth and innovation. The online delivery format, practitioner approach, and career mentoring make this program ideal for working professionals transitioning into data science and analytics.

Read this Blog for More Info- Explore Trending Combinations of Online MBA in Dual Specialization

Key highlights Of The Online MBA in Data Science and Analytics

  1. Learn the latest skills like Python, R, SQL, data visualization, machine learning models, statistical analysis, and predictive modeling.
  2. Get hands-on experience working on 5+ real-world marketing, healthcare, and finance projects. Apply concepts.
  3. Direct 1:1 mentoring from industry experts throughout the program. Get guidance on projects.
  4. Flexible online delivery enables learning anytime, anywhere, alongside your job.
  5. Build an impressive portfolio showcasing 5+ data analytics projects. Stand out to recruiters.
  6. Dedicated career support with resume building, mock interviews, and access to hiring partners. Succeed in job search.
  7. Lifetime access to course resources like project code, recorded lectures, and study materials for revision.

Eligibility Criteria For The Online MBA in Data Science and Analytics

The eligibility criterion is a bachelor's degree in any discipline from a recognized university. Professionals with some experience will better relate concepts to real-world business contexts. Strong analytical abilities, problem-solving skills, and basic computer proficiency are desired. Applicants from both technical and non-technical backgrounds can pursue this course to transition into data analytics roles.

Career Opportunities After Completion Of The Online MBA in Data Science and Analytics

Graduates can explore exciting career opportunities, including:

  1. Business Analyst: Analyze data to uncover insights about business strategy and operations. Identify trends and metrics.
  2. Data Scientist: Develop machine learning models and statistical algorithms to derive actionable insights from complex data.
  3. BI Developer: Design, develop, and maintain business intelligence platforms like dashboards, reports, and visualizations to communicate data insights.
  4. Data Engineer: Build and optimize data pipelines and infrastructure for collecting, storing, and processing large volumes of data.
  5. Analytics Manager: Lead analytics teams, oversee data analytics strategy, and enable data-driven decision-making across the organization.
  6. Big Data Engineer: Work on big data frameworks like Hadoop, Spark, Kafka, etc., to store and process high-velocity unstructured data.
  7. Data Consultant: Provide data analytics consulting services and help businesses use data analytics effectively to add value.

Graduates can find relevant openings across IT, finance, healthcare, retail, media, government, etc. The average salary for entry-level data analytics roles starts at 6-8 LPA, up to 15+ LPA for experienced professionals.

Other Specialization in Online MBA

MBA in Marketing ManagementMBA in Operations Management
MBA in HR ManagementMBA in IT Management
MBA in Business AnalyticsMBA in International Business Management
MBA in Logistics and Supply Chain ManagementMBA in Data Science
MBA in Finance and Marketing (Dual)MBA in Data Science and Analytics (Dual)
MBA in Healthcare ManagementMBA in Marketing & HR Management
MBA in Project ManagementMBA in Retail Management
MBA in Banking & Finance ManagementMBA in Digital Marketing
MBA in Entrepreneurship and Leadership (Dual)MBA in Digital Marketing and Ecommerce
MBA in Financial Markets ManagementMBA in Banking, Financial Services and Insurance (BFSI)
MBA in Fintech ManagementMBA in Hospital & Healthcare Management
MBA in Oil and gas ManagementMBA in Agri Business Management
MBA in Hospitality ManagementMBA in Hospital Administration
MBA in Banking and InsuranceMBA in Human Resource Management and 
Finance Management (Dual)
MBA in Production and Operation ManagementMBA in Finance Management

Also Read: What Is MBA Dual Specialization? – Detailed Guide 2024

Frequently Asked Queries

To ensure effective learning, the program uses recorded lectures, live sessions, hands-on labs, industry projects, case studies, and mentor guidance.

With experience, you can take on leadership roles like Chief Data Officer, Analytics Head, Chief Analytics Officer, etc. Entrepreneurship opportunities in analytics consulting also open up.

About 8-10 hours per week is advisable to review course materials and lectures and work on assignments and projects. The flexible format allows managing along with work.

Admission is based on online application, undergraduate scores, and work experience, if any. An entrance test is not required. Documents, application fee payment, and confirmation follow.

Universities offer flexibility like EMI options, easy installments, scholarships for deserving students, etc., to make the course affordable.

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