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Highlights
| Medium of Instructions | Mode Of Delivery |
|---|---|
| English | Video Based |
Course Details
The Master of Science in Data Science online course is a 2 years program offered by the University of Colorado Boulder and hosted on Coursera’s learning management system. The course focuses on the basic principles of data science including algorithms and data structure for organizing a large set of data. The course introduces various Data Mining techniques for extracting useful data from a large set of data and organizing raw data in a way to make it useful and analyze the pattern of datasets to train models for making accurate predictions.
The Master of Science in Data Science syllabus encourages students to learn about Statistical inference in which a sample of data is collected to draw a larger conclusion by analyzing the algorithms of the sample data sets. The course covers key topics of data science including Machine learning which is the part of Artificial Intelligence that provides the ability to learn from different input and output data as well as trained and supervised models in order to calculate or predict the result more efficiently.
The online Master of Science in Data Science training course develops decision making skills to solve any challenges in a complex environment with the help of advanced tools and techniques. The course teaches about various types of data visualization, predictive modeling, artificial intelligence and Machine learning.
Programme Offerings
- online quizzes
- Video blogs
- Case Studies
- Degree
- Coding Exercise
Eligibility Criteria
There is no any type of formal eligibility criteria, but the candidates are expected to have basic understanding of the following :
For taking admission in the Master of Science in Data Science online course, candidates must score a 3.0 GPA in pathway specialization to prove proficiency. The candidate scoring 3.0+ GPA will receive an offer letter from University of Colorado Boulder and the candidate will be automatically admitted to the course.
Pathway specialization are group three 1 credit courses with a focus on statistics and computer science, the credit earned in the pathway specialization will be added to the students total credit after admission.
Apart from this, there is no certification, letter of recommendation or English proficiency score required to take admission in the Master of Science in Data Science training online.
Admission Details
Step 1. Go on the Enrolment Calendar page by following the link below
https://www.colorado.edu/program/data-science/coursera/calendar
Step 2. Choose from the Available 4 sessions
Step 3. Click on the “Enroll Now” during the enrolment window open period
Step 4. Complete the registration form by choosing pathway specialization
Step 5. Select the payment method
Step 6. Confirm and Pay the Tuition Fee
Once the candidate completes the registration and pays the tuition fee, candidates will receive two emails one from the University of Colorado Boulder for the confirmation of the registration and another email from Coursera with the instruction of creating an account on Coursera and linking the University of Colorado Boulder with the Coursera account
Application Details
To take admission in the Master of Science in Data Science training online, the University of Colorado Boulder doesn’t require any Application form, the admission is fully based on the performance of the candidates, the course doesn’t require any university degree or graduate record examination or letter of recommendation.
The Syllabus
The Master of Science in Data Science syllabus includes every possible knowledge which is needed to become a successful data scientist, the course consists of various topic areas including statistics, Data Science electives, general data science and computer science.
- Probability Theory: Applications for Data Science
- Statistical Inference for Estimation in Data Science
- Statistical Inference & Hypothesis Testing in Data Science Applications
- Statistical Modeling I: Modern Regression Analysis
- Statistical Modeling II: ANOVA and Experimental Design
- Statistical Modeling III: Generalized Linear/Additive Models
- Algorithms for Searching, Sorting & Indexing
- Trees & Graphs: Basics
- Dynamic Programming, Greedy Algorithms
- Data Mining Pipeline
- Data Mining Methods
- Data Mining Projects
- Fundamentals of Visualization: Exploring and Explaining Data through Graphics
- Data Science as a Field
- Data Ethics
- Cybersecurity for Data Science
- High Performance and Parallel Computing (3 credits)
Evaluation Process
In order to receive a Masters degree in Data Science from the University of Colorado Boulder, Candidates will have to give a final examination and score a minimum grade decided by the institution, Candidates have an option to schedule their exam on the desired time and date, the candidate will have to schedule their exam at least 72 hours before the desired date and time of examination, Candidates can log in in their ProcterU account for scheduling their examination, ProcterU is a remote proctoring service portal used by the University of Colorado Boulder.
CU Boulder Frequently Asked Questions (FAQ's)
There are 4 sessions available for the Master of Science in Data Science online degree.
Total 30 credit hours are required to complete the Master of Science in Data Science classes.
There are no formal prerequisites as the course is fully performance-based, but the candidate should be familiar with R programming, python, and Applied statistics.
Yes, All the lectures of the Master of Science in Data Science degree are pre-recorded so that candidates can learn according to their flexible schedule.