Data Science Fast for Academic Credits
Unable to "wait for the next academic semester" to complete a Data Science course? Distance Calculus @ Roger Williams University has you covered!
Freshman Mathematics Courses
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Sophomore Mathematics Courses
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General Mathematics Courses
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Mathematics Major Courses
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Distance Calculus is designed to get you enrolled in Data Science immediately, and to have you finish the course as quickly as your academic skills allow.
Each Calculus course is different, some are more difficult and longer than others. But depending upon which Distance Calculus course, you could finish your course in a matter of weeks. It all depends upon your academic skills - some students are able to go lightning fast through the courses, some students need more time. Our only rule is that you go through the courses CORRECTLY and learn the material in our mastery learning format at 100% completion.
Our Distance Calculus courses are designed to be asynchronous - a fancy term for "self-paced" - but it more than just self-paced - it is all about working on your timeline, and going either as slow as you need to, or as fast as your academic skills allow.
Many students need a Data Science course completed on the fast track - because time is critical in finishing calculus courses needed for academic prerequisites and graduate school applications.
Here is a video about earning real academic credits from Distance Calculus @ Roger Williams University:
Data Science can best be described as a "a cross between a programmer and a mathematician/statistician".
This topic has many names, all being equivalent:
- Data Science
- Applied Statistics
- Programmer+Mathematician
- Big Data
If you wish to become a Data Scientist, you will need to develop both strong programming skills, and have a very strong mathematics background.
Distance Calculus @ Roger Williams University can help prepare you for a study of Data Science - either for a degree in Data Science or perhaps a certificate - by helping you complete the core mathematics courses necessary for starting a Data Science degree or certificate.
There are no short-cuts you can do with going into Data Science. You just can't learn Python and then pretend you are a Data Scientist because you watch a few videos on running data sets through Python! You NEED a very strong mathematics background that includes ALL of the following courses:
- DMAT 253 - Calculus I - 4 credits
- DMAT 263 - Calculus II - 4 credits
- DMAT 355 - Multivariable Calculus - 4 credits
- DMAT 321 - Differential Equations - 3 credits
- DMAT 335 - Linear Algebra - 3 credits
- DMAT 311 - Probability Theory - 3 credits
Freshman Mathematics Courses
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Credit
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Credit
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Sophomore Mathematics Courses
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Credit
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General Mathematics Courses
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Credit
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Mathematics Major Courses
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- Data Science Online Course FAST
- Data Science Online Course For Credit Start Immediately
- Data Science Online Course For Credit Start Today, Finish Quickly
- Data Science Accredited Online Course
- Data Science Summer 2025 Online Course
- Data Science Winter 2025 Online Course
- Data Science Summer Course
- Data Science Winter Course
- Data Science Spring Course
- Data Science Fall 2025 Online Course
Distance Calculus - Student Reviews





Date Posted: Jan 13, 2020
Review by: Daniel Marasco
Courses Completed: Multivariable Calculus
Review: This course was more affordable than many, and the flexible format was terrific for me, as I am inclined to work very diligently on tasks on my own. It could be dangerous for a person who requires external discipline more, but it works well for self-starters, allowing you to prioritize when you have other pressing work. I was a full time teacher adding a math certification, and this course allowed me to master the math while working around my teaching schedule and fitting work into moments here and there when I had time. I was able to transfer the credits to Montana State University, Bozeman for my teaching internship program without a hitch. The instructors were all very helpful and patient, even when I failed to see a ridiculously simple solution on one problem after 20 emails back and forth. Overall, I was more pleased with my experience in this class than I was with any of my other 9 courses.
Transferred Credits to: Montana State University, Bozeman





Date Posted: Dec 20, 2019
Review by: Bill K.
Courses Completed: Calculus I, Calculus II, Multivariable Calculus, Linear Algebra
Review: I took the whole calculus series and Linear Algebra via Distance Calculus. Dr. Curtis spent countless hours messaging back and forth with me, answering every question, no matter how trivial they might seem. Dr. Curtis is extremely responsive, especially if the student is curious and is willing to work hard. I don't think I ever waited much more than a day for Dr. Curtis to get a notebook back to me. Dr. Curtis would also make videos of concepts if I was really lost. The course materials are fantastic. If you are a student sitting on the fence, trying to decide between a normal classroom class or Distance Calculus classes with Livemath and Mathematica, my choice would be the Distance Calculus classes every time. The Distance Calculus classes are more engaging. The visual aspects of the class notebooks are awesome. You get the hand calculation skills you need. The best summary I can give is to say, given the opportunity, I would put my own son's math education in Dr. Curtis's hands.
Transferred Credits to: None




Date Posted: May 6, 2025
Review by: Aiden B.
Courses Completed: Calculus II, Multivariable Calculus
Review: Is the course perfect? No. However, it was by far the best option available. I have learned quite a few things not normally taught in a Calculus course. However, the course lacks a lot of paper solving and integrating, which is to be expected in an online course.
Course Information
Frequent Questions
Freshman Mathematics Courses
Semester
Credit
Hours
Credit
Hours
Sophomore Mathematics Courses
Semester
Credit
Hours
Credit
Hours
General Mathematics Courses
Semester
Credit
Hours
Credit
Hours
Mathematics Major Courses
Semester
Credit
Hours
Credit
Hours