Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The “Master of Applied Data Science” degree is an online degree course which is offered by the University of Michigan, in partnership with Coursera. The main focus of this course is to teach students how to use data for the improvement of results, and this can lead to achieving ambitious goals. The foreign master’s degree is curated keeping in mind the students who are aspiring to become data scientists and teach them hands-on skills to become one.
The “Master of Applied Data Science” syllabus imparts education on the core Data science concepts namely programming languages and Machine learning. According to the University of Michigan’s School of Information, U.S. News & World Report, the University of Michigan’s School of Information has been rated as the number 1 university teaching applied data science. If students want to learn the systems and techniques that they can use to stop the overload of data in organizations by making decisions that will benefit the organization.
Again, once students complete this “Master of Applied Data Science” online degree program, they can apply concepts like privacy, data ethics, and persuasive communication, to flourish inside their current organization. And, this master’s degree will also be beneficial for them to showcase in their portfolio that can attract hiring companies.
The Highlights
- Completely online degree course
- Course duration is 1 – 3 years
- The entire course is 34 credit hours
- Degree by University of Michigan School of Information
- 98% job placement success rate
- 630,000 Michigan alumni community
- Special access to libraries
- Invitation to commencement ceremonies
Programme Offerings
- Degree by Michigan School of Information
- Access to Library
- Invitation to Commencement Ceremonies
- 98% Job Placement
- Alumni community
- 34 Credit Hours
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | UM–Ann Arbor |
The “Master of Applied Data Science” degree fees are a total of $34,759 for residents of Michigan, and for non-residents, the fee is $46,149 . Since the University of Michigan is funded partially, the residents pay a lower amount of $1,022 per credit whereas the non-resident’s pay $1,357 per credit. To make it easier on the pockets of students, the university offers different payment options like pay a monthly payment plan, per term for all the classes, or pay each time one registers for a course. Again, several financial aid options like tuition reimbursement, financial resources, Student Loan Options for U.S. Citizens and Permanent Residents are available.
Master of Applied Data Science fee structure
Description | Amount |
Master of Applied Data Science, State of Michigan residents | $34,759 |
Master of Applied Data Science, State of Michigan non- residents | $46,149 |
Eligibility Criteria
Educational Qualification
- All candidates must have an undergraduate degree
- Learners must possess valid details of TOEFL scores whose native language is not English
- Candidates need to have knowledge of Python & Statistics, and while applying they will be tested for the following.
Degree Qualifying Details
Candidates have to attend all the online lectures and complete all the capstone projects to be able to receive the degree of completion, real-world experience, and an amalgamation of learning experiences.
Admission Details
The admission to ‘Master of Applied Data Science” training requires the following steps to be followed:
Step 1: Open the course’s official website: https://www.coursera.org/degrees/master-of-applied-data-science-umich
Step 2: Next, candidates can click on the “Apply Now” Tab.
Step 3: Fill the application form along with some documents, and application fees.
Step 4: Sit for the tests if required.
Step 5: The candidate’s application will then be reviewed, and processed for admission.
Application Details
The “Master of Applied Data Science” by the University of Michigan requires candidates to fill up an application form with personal information, email address and scanned or electronic transcript of certain important documents like Letters of Recommendation, Resume, and Essays.
The Syllabus
The curriculum of this Master degree course in Big data, collecting data, data analysing, and modelling, Results into Action
- Computational methods for big data
- Exploring and communicating data
- Visualizing data using various methods
- Analytic techniques (machine learning, network analysis, natural language processing, experiments and causal inference)
- Data science applications in context (search and recommender systems, social media analytics, learning analytics)
- 3 portfolio-building major projects
- Introduction to Applied Data Science
- Contextual Inquiry
- Data Science Ethics
- SQL & Databases
- SQL Architectures & Technologies
- Big Data: Efficient Data Processing
- Big Data: Scalable Data Processing
- Data Manipulation
- Experiment Design and Analysis
- Math Methods for Data Science
- Visual Exploration of Data
- Data Mining I
- Data Mining II
- Supervised Learning
- Unsupervised Learning
- Deep Learning
- Machine Learning Pipelines
- Causal Inference
- Natural Language Processing
- Network Analysis
- Information Visualization I
- Presenting Uncertainty
- Communicating Data Science Results
- Information Visualization II
- Search and Recommender Systems
- Social Media Analytics
- Learning Analytics
- More to come
- Capstone I
- Capstone II
- Capstone III
School of Information, Ann Arbor Frequently Asked Questions (FAQ's)
Yes, the university has an alumni community of a total of 9,000 web designers, librarians and archivists, data engineers, user-experience engineers, and more.
Companies like Facebook, Amazon, and Google are some of the world-famous companies that offer high salaried jobs as data scientists to the students of this course.
Any candidate who is ready to take on the challenges faced in the real world, and wants to know how data is sourced, collected, analyzed, and processed can take up this course.