Online BBA in Data Science and Analytics

Data Science and Analytics, an interdisciplinary field that is focused on extracting useful insights from huge data sets to help with decision making. Data Science and Analytics involves a variety of techniques, including statistical analysis, data visualization, machine learning and data mining. It is the goal to turn raw data into information that will help drive strategies for business, can improve operations and predict future trends. Data is a valuable asset for nearly all industries today, and data science, as well as analytics, are essential to businesses that want to remain competitive.

online BBA in Data Science and Analytics

Why do you want to choose BBA in Data Science and Analytics?

If you want to combine business skills with analytical decision making, a BBA in Data Science and Analytics can be a great choice. The program will give you a solid understanding of business basics and advanced analytics. Combining business knowledge and analytical abilities can lead to exciting careers in industries like healthcare, finance and marketing.

This degree offers you:

  1. Combination of Business and Technical Skills You will gain insight into the technical and business sides (data analysis and machine learning).
  2. Growing demand: As more businesses realize the value of data-driven strategy, the need for data professionals is growing.
  3. Future Proven Skills : As the job market becomes more data-centric in the coming years, your skills will be relevant.

How does BBA in Data Science and Analytics help in the future?

Your future can be significantly impacted by a BBA in Data Science and Analytics.

  1. Multi-disciplinary Experience You will gain skills that are both data and business-oriented, which allows you to take on leadership positions where data-driven decisions and business strategy is crucial.
  2. Adaptability for Various Industries Data is a Universal Asset. You can contribute to any company, whether it is in finance, marketing, technology or healthcare.
  3. Opportunities for Growth: Businesses are increasingly relying on data to help them shape strategies. They need professionals with the skills and knowledge necessary to manage data and understand business goals and operations. This degree opens doors in high-growth sectors.
  4. Problem Solving and Critical Thinking: This degree will help you develop your analytical skills, identify trends and take data-driven decision making, all of which are essential for leadership positions in almost any field.

Is a BBA in Data Science and Analytics high demand?

There are several reasons why BBAs in Data Science and Analytics are in demand.

  1. Data Driven Decision Making Businesses in all industries adopt data-driven decision making strategies to improve their efficiency and gain an edge over competitors. There is an increasing demand for data professionals.
  2. Technological Advances The growth of big data and artificial intelligence, machine learning and cloud computing have increased data volume and complexity. It has led to a demand for data analysts who are able to interpret and analyze vast quantities of information.
  3. A Wide Variety of Career Pathways Data Science and Analytics is a versatile area with applications across multiple industries including retail, health care, finance, sport, marketing and many more. The opportunities for graduates are increased.
  4. Skill Gap There is a high shortage of skilled professionals in the industry. This means that there aren't enough data analysts, business intelligence specialists, or other experts to meet the demands.

Explore Advanced Career Opportunities

The BBA Data Science and Analytics opens the door to many advanced career options. Some examples include:

  1. Data analyst: Analyze data and interpret it to assist organizations in making better decisions. The role requires the preparation of reports, data visualizations and insight.
  2. Business intelligence (BI) analyst: Concentrates on gathering, analyzing and presenting data in order to improve an organization's performance and help it achieve its strategic objectives.
  3. Data scientist: Develops algorithms, models and machine-learning techniques for extracting insights from large datasets.
  4. Operational Research Analyst Uses statistical and data-modeling techniques to optimize business operations and solve complex problems.
  5. Data engineer: Responsible for creating, maintaining and analyzing data.
  6. Data Product Manager: This is a hybrid position that combines data management and business skills to design data-driven products.
  7. AI/Machine Learning Engineer : This position involves designing and implementing AI-based models to improve products or services, business processes, etc.

Earn a High Salary

The BBA Data Science and Analytics degree can open up lucrative career options. Demand for data experts translates to high salaries. Salary levels vary depending on your industry, where you live, and how much experience you have. You can, for example:

  1. Data Analysts earn between $60,000 and $80,000 per year in the US. As they gain more experience, however, their salaries can increase significantly.
  2. Data Scientists earn up to $100,000 per year, and can even be paid more in senior positions or large tech firms.
  3. Business Intelligence Analysts can earn between $70,000 and $90,000 per year, depending on their experience, location and level of education.

Admission Procedure Of Online

It is 2 years postgraduate degree that can be done by anyone who completed an undergraduate degree from any recognized college or university. Getting admission is a smooth process just you need to choose a college. Any individual with 55% aggregate marks in bachelor's can apply for it.

Admission Procedure

online BBA in Data Science and Analytics Admission process
Eligibility

10+2 Pass Out

Duration

Min 3 — Max 6 years

Approvals

UGC | DEB | NAAC

Procedure to Take Admission in the Online BBA in Data Science and Analytics

Online MBA in Data Science and Analytics Registration processOnline MBA in Data Science and Analytics Registration process

Course Outline

This course will include business planning and entrepreneurship, fundamentals, and advanced business management It is designed in such a way that you can gain a wholesome idea of business administration and growth. And in the last semester, you may need to take practical exposure through internships and projects.

  • Semester 1
  • Microeconomics
  • Business Mathematics and Statistics
  • Basic Accounting
  • Communication Skills
  • Microeconomics
  • Human Resource Management
  • Semester 2
  • Principles of Management
  • Computer Application to Management
  • Advanced Accounting
  • Marketing Management
  • Financial & Management Accounting
  • Principles of Management
  • Semester 3
  • Rural Marketing
  • Indian Economy
  • Logistics and Supply Chain Management
  • Banking
  • Elective
  • Semester 4
  • Compensation Management
  • Commercial & Company Law
  • Compensation Management
  • Research Methodology
  • Elective 2
  • Semester 5
  • Digital Marketing
  • Industrial Field Report
  • Entrepreneurship Development
  • Market Research
  • Elective 3
  • Semester 6
  • Industrial relations and Labor Laws
  • Consumer Behavior
  • Financial services & markets
  • Corporate Strategy
  • Elective 4

Other Online BBA Course Specializations

How to Choose the Right University?

Doing BBA from a renowned university is impactful from a career perspective. Before you go for admission in online you must be aware of the right place to apply. Consider these points while looking for a college or university

consult the university rankings
check the course content
Look at your requirements and fee's structure

Differences Between Online BBA and Regular BBA Programs

Both Online BBA and Regular BBA programs aim to equip students with advanced business management skills, but they differ significantly in terms of structure, delivery, flexibility, networking opportunities, and overall experience. Here’s a detailed comparison:

  • Online BBA
  • Delivered primarily online through virtual classrooms, recorded lectures, and digital course materials.
  • Learning is often self-paced with occasional live sessions.
  • Regular BBA
  • Delivered through in-person classes at a physical campus.
  • Involves face-to-face interactions with professors and peers.

Career Opportunities

After completing this course, you can be hired as a Data Science, Data Analysis, Business Analyst and Business Intelligence, etc. You can work in management firms or with start-ups there is a vast pool of opportunities after this degree.

Machine Learning Engineer

Data Engineer

Digital Marketing

Market Research

Operations Management

Blockchain Expert

Data Mining

Healthcare

Quantitative Analyst

BBA Data Science and Analytics FAQ

The methods and resources utilised for data analysis and interpretation are the main emphasis of the online BBA in Data Science and Analytics. In order to give students the tools they need to make data-driven decisions, the program covers coursework on data mining, statistical analysis, data visualisation, machine learning, big data technologies, and predictive analytics.

Graduates can work as consultants for analytics, data scientists, data engineers, business intelligence analysts, statistical analysts, and analysts of data. Employment prospects exist in industries such as technology, banking, healthcare, retail, and government.

Through practical projects, case studies, and in-depth data analysis, the curriculum combines academic knowledge with real-world experience. In order to prepare them for a variety of professions in the data analytics industry, students learn how to apply data science tools and techniques to solve complex issues, create data models, and produce actionable insights.

Yes, even beginners should be able to use the program. In order to ensure that students without prior expertise can obtain a firm understanding of data science and analytics, it begins with core courses in data science principles and progressively moves to more complex areas.

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