Online Bachelor's Degree in Data Analytics: Courses, Careers & Payment

A bachelor's degree in data analytics is ideal for those who want to become a data analyst. However, you may not be want to earn this degree in person.

If so, an online data analytics degree is a great option. Below, we'll provide all the information you need to decide if this online degree is right for you.

What Is an Online Bachelor's Degree in Data Analytics?

An online data analytics program equips students with the knowledge and skills needed to analyze, interpret, and utilize data effectively. This degree teaches students how to work with large datasets, apply statistical methods, and use various data analysis tools to derive insights that can inform business decisions.

The curriculum typically includes statistics, programming, data visualization, machine learning, and database management courses. These courses are designed to build a strong foundation in both the technical and analytical aspects of data science.

The online format of this degree offers flexibility for students, allowing them to balance their studies with other commitments, such as work or family. They will need to have access to software tools such as Python, R, SQL, and Tableau, which are essential in the field of data analysis.

Online Data Analytics Degree Core Curriculum

Below, we've listed several key courses that are included in online data analytics programs.

• Introduction to data science: covers the basics of data science, including key concepts, tools, and methodologies
• Statistics for data analysis: focuses on statistical methods used in data analysis, including probability, regression, and hypothesis testing
• Introduction to programming in Python: introduces the programming language of Python, essential for data manipulation and analysis
• Data visualization: teaches techniques for visualizing data effectively using tools like Tableau and Power BI
• Database concepts: explores the design, implementation, and management of databases, including SQL
• Machine learning: provides an introduction to machine learning algorithms and their applications in data analysis
• Big data foundations: examines the challenges and techniques for analyzing large datasets

Online Data Analytics Degree Specializations

To enhance your degree, you can choose a specialization or a concentration. Some concentrations offered with data analytics degrees include:

• cloud computing
• game development
• information security and assurance
• network administration
• project management for STEM
• software development using C#
• software development using Java
• software development using Python
• software development using web languages
• supply chain management and logistics

How Long Does It Take To Get a Degree in Data Analytics Online?

The flexibility of online programs allows students to progress at their own pace, which means that part-time students might take longer, while those who can accelerate their studies might finish more quickly. Most bachelor's degree students should plan on taking courses for around four years.

Career Opportunities for an Online Data Analytics Major

You can enter many different industries with a data analytics degree, but the following job titles are the ones you should apply for:

• data analyst: analyzes data to help organizations make informed decisions
• business analyst: focuses on analyzing data to support business strategy and decision-making
• data scientist: applies advanced analytics and machine learning techniques to solve complex problems

How To Choose the Right Online Degree Program

Choosing the right online data analytics degree program is a crucial step in your educational journey. Here are some practical tips to help you make an informed decision.

Accreditation

First, ensure the program is accredited. Accredited programs meet specific academic standards, which can be important for future employment and further education. Additionally, attending an accredited institution may make you eligible for federal financial aid.

Flexibility

Another important factor is the flexibility of the program. Some programs offer asynchronous courses, allowing you to study at your own pace, while others may have scheduled classes and deadlines. Choose a program that fits your lifestyle and learning preferences.

Finances

Financial considerations should also play a role in your decision. Compare tuition costs, financial aid options, and any additional fees associated with the program. Some schools offer tuition discounts for online students, or financial aid packages that can help reduce the overall cost of your degree.

Financial Aid Options for Online Data Analytics Majors

Financing an online degree in data analytics can be challenging, but there are several financial aid options available to help students manage the costs. We've listed common options below.

Federal Aid

The U.S. Department of Education offers several forms of federal aid, including grants and loans. To apply for federal aid, you must complete the Free Application for Federal Student Aid (FAFSA). This form will determine your eligibility for financial aid such as the Pell Grant.

Grants and Scholarships

Grants, which usually come from the government and are based on your finances, are financial awards that do not need to be repaid.

Scholarships are similar to grants but come from organizations or colleges. They can be based on whatever criteria the organization chooses.

Student Loans

You'll want to consider student loans as a final resort since they have to be repaid and accrue interest. However, federal loans have lower interest rates than private loans. Be sure to understand the terms of your loan first before accepting it.

Military Benefits

If you are a current or former member of the military or a dependent of a service member, you may be eligible for educational benefits through the GI Bill or other military education programs. These benefits can cover tuition, fees, and other educational expenses, making it easier to afford your online degree.

FAQs About Earning an Online Bachelor's Degree in Data Analytics

To learn more about this degree, review our answers to frequently asked questions below.

Is a Bachelor's Online Degree in Data Analytics Worth It?

If you want a career in data science, then an online data analytics degree is a great idea. You'll be able to analyze data effectively, which is highly valued in many industries. Graduates can pursue a variety of well-paying jobs with strong growth potential.

Is an Online Data Analytics Major Hard?

An online data analytics major is difficult for students who are new to data science. The curriculum involves a significant amount of math, programming, and analytical thinking.

However, with dedication and the right resources, most students find the program manageable. The flexibility of online learning also allows students to progress at their own pace, which can help ease the difficulty.

How Much Does an Online Data Analytics Degree Cost?

The cost of an online data analytics degree ranges from $15,000 to $30,000 for the entire program. Some programs may charge by the credit hour, with costs ranging from $200 to $600 per credit.

It's important to factor in additional expenses, such as textbooks, technology fees, and any required software when budgeting for your degree.

Are There Any Free or Affordable Data Analytics Degree Programs Online?

While there aren't any fully free data analytics degree programs, some institutions offer affordable options or scholarships that can significantly reduce the cost.

Additionally, some online learning platforms provide free courses or certificates in data analytics, which can be a cost-effective way to gain relevant skills.

What Skills Will I Gain in an Online Data Analytics Degree Program?

In an online data analytics degree program, you will gain the following skills:

• statistical analysis: understanding and applying statistical methods to analyze data
• programming: proficiency in programming languages like Python and R
• data visualization: creating clear and effective visual representations of data
• machine learning: applying machine learning algorithms to interpret and predict data patterns
• critical thinking: developing the ability to analyze and solve complex problems using data