Most Affordable Online Master's in Data Science Programs in 2022-23 (2023)

FAQs

What is the least expensive online college masters? ›

While earning a master's degree in data science comes with certain costs—in terms of both tuition and time—it can be a worthwhile investment when you're interested in furthering your abilities to work with and parse data.

As many as 83% of business leaders see an online degree at a “well-known” institution as having the same value as an on-campus degree. If they are not familiar with a school, however, or the institution isn't known for producing prepared graduates from its programs, your degree may not be seen as having the same value.

Data science is a difficult field. There are many reasons for this, but the most important one is that it requires a broad set of skills and knowledge. The core elements of data science are math, statistics, and computer science. The math side includes linear algebra, probability theory, and statistics theory.

Learning theory isn't enough — you need a master's program that will immerse you in the skills and tools you'll use every day as a data scientist. At Regis, we accomplish this through project-based learning and practicum projects.

Jobs that data science master's land

Graduates from Syracuse's program take on a variety of roles: data analysts, data scientists, machine learning engineers, data engineers, quality specialists, data visualization designers, business intelligence analysts, and data mining analysts.

The average data science master's salary after graduation is $126,830. For entry-level positions, a master's degree resulted in around a $5,000 salary increase. For mid-career positions, a master's degree resulted in around a $13,000 salary increase.

Which USA has best masters in data science? ›

The impact of a master's degree in data science on salary

The related field of computer science saw significant returns for students. Bachelor's degree graduates were expected to earn a starting salary of $75,900 in 2022, but that number jumped to $82,384 for master's degree graduates [3].

The autumn 2022 cohort is one of our most selective ever: only about 13 percent of applicants were offered admission to the MSDS program this year.

A great way to get started in Data Science is to get a bachelor's degree in a relevant field such as data science, statistics, or computer science. It is one of the most common criteria companies look at for hiring data scientists.

The most common academic master's degrees are the Master of Arts (MA or AM) and Master of Science (MS or SM). However, there are many different master's degree titles, especially in the professional fields.

Fastest Program: 16 Months

And the master of science in finance, and master of professional accounting programs can both be completed in as few as 16 months. The business degrees are AACSB accredited, and the university itself is accredited by the Southern Association of Colleges and Schools Commission on Colleges.

And if you want to finish grad school quickly, consider one-year master's programs. These programs offer the fastest route to an accredited, high-quality graduate degree — and some take even less than one year.

At schools with both distance learning and traditional study options, the admissions requirements are just as stringent for applicants to the online program as they are for the on-campus program. GPA requirements are the same no matter which learning format you choose.

Is it better to get an online master's or on campus? ›

If you're pursuing a master's or Ph. D. in a science-based field, you may want to be on campus because these are primarily research-based and require lab work. However, if you're pursuing a humanities degree, an online program may be conducive to that type of work.

Although data pre-processing is often considered the worst part of a data scientist's job, it is crucial that models are built on clean, high-quality data. Otherwise, machine learning models learn the wrong patterns, ultimately leading to wrong predictions.

The course spans between 6-12 months. A degree program in data science normally lasts three to four years and mainly emphasizes academics. Machine learning, cloud computing, data visualization, python programming, and operating systems are examples of M. Sc.

Is data science harder than software engineering? No, data science is not harder than software engineering. Like with most disciplines, data science comes easier to some people than others. If you enjoy statistics and analytical thinking, you may find data science easier than software engineering.

Since data science is a high-growth, in-demand career field with strong job prospects, it's a good time to explore whether becoming a data scientist is the right next career for you. The great news is, you don't need prior experience to become a data scientist.

Coding is required. For working professionals who code: Coding is required in Data Science, and you can pick it up. There is a learning curve in Data Science because, along with code, you will also need to unlearn and relearn mathematics and business. The data science bootcamp can help here.

Data science careers require mathematical study because machine learning algorithms, and performing analyses and discovering insights from data require math. While math will not be the only requirement for your educational and career path in data science, but it's often one of the most important.

A low six-figure salary is really the limit of most data analytics roles, though. To earn more, you'll need to transition into a more senior position, such as a data scientist or finance manager.

An MBA in data science helps students to convert data into key business insights and incorporate in-demand tools and technologies, preparing them for the modern business landscape. On the other hand, M.Sc in data science will equip the learners with tools and techniques, making them part of the current industry trends.

There are two education paths you can choose to pursue when you want to become a data scientist without obtaining a degree. Consider teaching yourself or joining a data science boot camp. Teaching yourself requires discipline and research skills to ensure you're learning the right skills and methods in data science.

What is the highest paying data science in USA? ›

While each credit of a data science degree will cost the same as credits in any other degree, the resources needed for coursework may be a little more expensive. That's because math and computer science courses tend to be more challenging than courses in other disciplines.

Technology, big data, and software are advancing every day and there are plenty of jobs to reflect this demand. According to US News and World Report in 2022, information security analyst, software developer, data scientist, and statistician ranked among the top 10 (out of 100) jobs [1].

Palo Alto, California

Ok, we can't get by without naming Silicon Valley. It's one of the most expensive cities in the country, but also one of the wealthiest, with plenty of nightlife and a young, innovative population. Get a job here, and you're at the forefront of tech and data science.

The GRE score is required by American colleges to assess students' intellectual readiness for master's-level data science coursework. The required GRE score is above 310 for schools like Stanford and MIT, with a minimum score of 280.

How much does a Data Scientist make? The national average salary for a Data Scientist is $1,21,040 in United States. Filter by location to see Data Scientist salaries in your area. Salary estimates are based on 27,543 salaries submitted anonymously to Glassdoor by Data Scientist employees.

Similarly, for many experienced FAANG data science jobs, a PhD is a preferred or required qualification. Breaking down the Phd in data science salary for 2022, we see results in a significant salary bump: The average PhD in data science salary is $153000.

How much does a Entry Level Data Scientist make? The national average salary for a Entry Level Data Scientist is $97,167 in United States. Filter by location to see Entry Level Data Scientist salaries in your area.

Computer science is the best branch you should go for data scientist career.

Which city is best for study data science? ›

Pune has long been India's top location for the IT sector due to its excellent educational and historical history. Pune has several start-ups with big data science and software development prospects. Pune is a stimulating location for professionals, with many opportunities for innovation and research.

Indeed, domain expertise is one of the most sought-after skills for data analysts. So despite industry ageism, a recent study by Zippia showed that the average age of data analysts in the U.S. is 43 years old.

✔ 3.0 Minimum GPA from last 2 years of graded full-time study. Applicants are required to have a GPA of at least 3.0 for the last 60 graded semester credits or the last 90 graded quarter credits of their schooling (U.S.), or roughly the equivalent of the last two years of graded study (undergraduate and/or graduate).

Bachelor's GPA of 3.0 or higher. Candidates with a GPA between 2.5 and 3.0 can apply, but will be asked to provide a Statement of Purpose. Candidates with a GPA between 2.0 and 2.5 will be required to complete a standardized test such as the GRE or GMAT.

While earning a master's degree in data science comes with certain costs—in terms of both tuition and time—it can be a worthwhile investment when you're interested in furthering your abilities to work with and parse data.

The most affordable university for a cheap masters degree in USA is San Diego State University.

The fastest degree offered is the master of business administration; this accelerated MBA takes just 12 months to complete. The traditional MBA can still be completed in just under two years, with enrolled students taking only one course at a time.

What is the least amount of credits for a Masters? ›

You will typically need to earn 60 credits for an associate degree, 120 credits for a bachelor's degree and 30-60 credits for a master's degree.

Although the scores vary across universities, the minimum GPA required for MS in USA is 3.0 on a 4.0 scale.

To study for an MS degree in the US you must fulfil these primary requirements: 3 to 4 years of a bachelor's degree in the relevant field with an average GPA of 3.0 or 65 – 70% and above. Proof of your English-language Proficiency test such as IELTS • GRE score that is 290 or above.

Supplement your savings by applying for scholarships, grants, fellowships, and assistantship positions. Explore federal student loans. Submit the Free Application for Federal Student Aid (FAFSA) every year you need money for graduate school. Consider a responsible, private graduate school loan.

No matter your age, you're never too old to earn a college or graduate degree.

As a mid-career professional, you might be wondering if it's too late to earn your degree. Don't worry, you're never too old to earn your degree.

There is no universal minimum GPA for grad school. The minimum, when one is specified for admissions requirements, can vary by school and program. At many schools, admissions requirements for masters programs may specify a 3.0 GPA minimum, but some schools may accept applicants with lower GPAs.

How many credit is a typical Masters degree? ›

Typically, the number of credits needed to earn your master's sits between 30 and 60 credits, but there are some exceptions.

When it comes to determining how many credits you need for a master's degree, consider the average. Most schools require about 30 credit hours with more complex and in-depth programs increasing this to as much as 40.

What are the grades for a Master's degree? Taught Master's degrees require 180 credits worth of work, either through modules, projects, assignments and a final dissertation. Typically, a dissertation is worth 60 credits.