Online MBA in Data Science

Online MBA in Data Science

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Online MBA in Data Science is a two-year master's program designed for working professionals who want to advance their careers by gaining data analytics, machine learning, and AI skills.

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Offered By -3 Universities

Course Duration - 2 years

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Online MBA in Data Science

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Online MBA in Data Science : Overview

Overview of Online MBA in Data Science
Online MBA in Data Science is a two-year master's program designed for working professionals who want to advance their careers by gaining data analytics, machine learning, and AI skills. This course enables professionals to help organizations harness data to drive business growth.

The curriculum covers critical data science concepts like Python, R, SQL, data visualization, statistical modeling, machine learning algorithms, and big data tools. Learners work on real-world projects in domains like marketing, finance, healthcare, etc., to gain practical experience. The program culminates in a capstone project where students solve an actual industry challenge using data science techniques. Expert faculty provide guidance and mentorship throughout the course. Upon completion, graduates are equipped to take on data-driven roles like Data Analyst, Data Engineer, Business Intelligence Developer, Analytics Manager etc. The flexible online format, hands-on learning approach, and career support make this course ideal for working professionals transitioning into data science.

Key highlights Of Online MBA in Data Science

  1. Learn the latest data science skills like Python, R, machine learning, deep learning, and big data analytics to advance your career.
  2. Get hands-on experience working on real-world projects in finance, healthcare, ecommerce, and social media.
  3. One-on-one mentoring from industry experts to guide projects and provide career support
  4. The flexible online format fits studying into your schedule; learn anytime from anywhere.
  5. Build an impressive portfolio of 5+ projects to showcase your data science skills.
  6. Dedicated career assistance with resume building, mock interviews, and access to hiring partners
  7. Lifetime access to course resources like project code, recorded lectures, study materials

Eligibility Criteria For Online MBA in Data Science

The critical eligibility criterion is a bachelor's degree in any discipline from a recognized university. Professionals with work experience will find it easier to relate concepts to real-world applications. Strong logical, analytical, and problem-solving abilities are an asset to this program. Basic computer skills are also required as you will work with various data science software and coding languages. Candidates from both technical and non-technical fields can pursue this course to enter the data science domain.

Career Opportunities After Completion of Online MBA in Data Science

An MBA in Data Science opens up exciting career opportunities across industries. Some essential job roles you can pursue after completing the course include:

  1. Data Analyst: Collect, process, and analyze data to uncover business strategy and operations insights.
  2. Data Engineer: Design, build, and maintain data pipelines for collecting, storing, and processing data at scale.
  3. Business Intelligence Developer: Create BI tools and dashboards to visualize data and communicate insights to stakeholders.
  4. Machine Learning Engineer: Develop and implement ML models to automate tasks and improve products/services.
  5. Analytics Manager: Lead analytics teams, oversee data strategies, and drive data-based decision-making.
  6. Big Data Engineer: Worked on big data frameworks like Hadoop, Spark, and Kafka to handle massive datasets.
  7. Data Science Consultant: Provide data science and analytics services to help businesses use data effectively.

The average starting salary for data science roles is 6-8 LPA, with experienced professionals earning even higher. Top recruiters include IT services firms, ecommerce companies, management consultancies, healthcare providers, banks, and financial institutions.

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

Frequently Asked Queries

The 2-year program has 4 semesters. Each semester covers industry-relevant subjects through recorded lectures, hands-on labs, projects, and mentor guidance. The flexible format allows working comfortably while learning.

You can take on leadership roles like Chief Data Officer, Analytics Head, etc., with experience. Some also start their own data science consulting firm. The domain has immense growth potential.

Dedicated career support is provided, including resume building, mock interviews, access to hiring partners, job referrals, and more. The program prepares you thoroughly for data science job roles.

A bachelor's degree is the only educational prerequisite. Relevant work experience in IT, analytics, or business is beneficial but optional. Strong analytical and problem-solving skills are essential.

Essential tools covered include Python, R, SQL, Excel, Tableau for data visualization, predictive modeling tools, Hadoop, Spark, and Kafka for big data analytics.

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