
Master of Science in Data Analytics Engineering at Coursera Overview
Total Tuition Fees | ₹20.77 Lakh Get Fees details |
Duration | 2 years |
Course Level | PG Degree |
Mode of Course | Full Time |
Official Website | Go to Website |
Master of Science in Data Analytics Engineering at Coursera Fees
| Fee components | Amount (2 years) |
|---|---|
₹ 20.77 Lakh | |
₹ 20.77 Lakh |
Master of Science in Data Analytics Engineering at Coursera Frequently Asked Questions
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Coursera Plus is a subscription service that gives limitless access to a big range of Coursera's catalog, including courses, specializations, and professional certificates, for a single annual fee. This is ideal for learners who may be taking multiple courses or programs throughout the year, as it reduces the cost per course.
The payment for one specific course, specialization, or programme is made as individual course payments, as monthly subscription Therefore, this is the best alternative for learners who want to take only one or two courses without any long-term commitment. Coursera Plus does not include all courses; therefore, we recommend you to check the eligibility of a course before subscribing.
A data Science master's degree is a relatively new graduate programme that integrates core concepts from mathematics, computer science, statistics, and information science. It equips students with the skills to extract insights from complex data sets and enhance operational and business processes. This degree is ideal for those looking to advance their careers in data Science or expand their expertise in areas such as machine learning, data visualization, and data mining. Graduates are prepared for roles like data scientist, data analyst, or data engineer, benefiting from the growing demand for data professionals in today’s job market.
Yes, Coursera courses are designed to be self-paced. It means, you can learn as per your schedule. You can complete your course at a speed that suits you. You can finish it faster than the estimated duration if your schedule permits. The time it takes to complete a course or specialisation largely depends on the number of hours you dedicate everyday or week. Additionally, your prior knowledge of the subject matter can influence your pace. If you are already familiar with the concepts and terminology, you may find it easier and quicker to progress through the material.
Master of Science in Data Analytics Engineering at Coursera Highlights
- Earn a degree after completion of the course
- Learn from industry leaders
- Scholarship & financing facilities available
Master of Science in Data Analytics Engineering at Coursera Students also asked
A Specialization on Coursera is a structured series of related courses to help learners master a specific skill or subject area. Each Specialization consists of multiple courses that build on one another, delivering a comprehensive learning experience.
In addition to the core courses, Specializations often include a capstone project, which is a practical application of the knowledge gained. Upon completing a Specialization, learners receive a certificate that can be shared on professional platforms such as LinkedIn or included in resumes, showcasing their commitment to continuous learning and expertise in a specific area. Specializations are designed to be flexible, allowing individuals to progress at their own pace, and are ideal for those looking to advance their careers, switch fields, or deepen their knowledge in a particular domain.
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