This is a 33 credit hours program.IntakeStart DateApplication DeadlineI-20 Request DeadlineBegin Course RegistrationFall 1, 2019August 19, 2019June 7, 2019June 21, 2019April 8, 2019Fall 2, 2019October 21, 2019August 9, 2019August 23, 2019April 8, 2019Spring 1, 2020January 6, 2020October 25, 2019November 8, 2019October 28, 2019Spring 2, 2020March 16, 2020January 8, 2020January 17, 2019October 28, 2019Summer 2020May 25, 2020March 16, 2020March 30, 2020March 5, 20201. Undergraduate degree2. Baccalaureate degree from a U.S. accredited institution3. Online Application with USD 50 application fee4. Official transcripts5. Certificate of Finance6. Passport7. Undergraduate cumulative grade point average of 2.5 or aboveEnglish Proficiency Test: The acceptable English Proficiency test scores are mentioned belowEnglish TestMinimum Score RequiredIELTSMinimum 6.5TOEFLiBT 80 or PBT 575Pearson Treat of English AcademicMinimum 53Cambridge Academic English176
Teaching methodology used during the course of this programme equips the students with fundamental concepts as well as with the technologies that are used in the process of data analysis in the competitive business environment. Professionals who have extensive and varied knowledge and have gained experience by working in the industry teach this innovative programme. This makes the learning process very interactive as students get practical exposure.Based on the student’s performance, Grade Point Average is calculated for the purpose of assessment. It also considers the work taken at the university.
This full time programme is taught on campus only.
M.S Data Analytics syllabus encompasses a wide range of subjects and technologies to understand analyzing of business data, the transformation of information and generation of data reports. The students are required to complete 33 credit hours, which include introductory, reinforcement, proficiency and subject-specific courses.Estimated Costs for the 2019-2020 Academic Year for Graduate International StudentsLocationTuitionLiving ExpensesHealth InsuranceTotalSt. Louis$18,000$16,030$2,475$36,505Orlando$15,120$18,800$2,475$36,395Irvine$18,720$20,835$2,475$42,030Living Expenses include estimates for housing, food, personal care, entertainment, and books.Health Insurance is mandatory for all international students unless they have a government-sponsored health insurance.
Why study this course?
Data Analysis is becoming very important day by day and for that, candidates are required in the leadership positions for analyzing and assessing the data. M.S Data Analytics in the US focusses on developing and executing key data analytics skills in order to deal with large amounts of data in businesses. It lays a strong foundation by integrating all the data related concepts and practices.
Is it worth doing M.S Data Analytics?
This master’s level programme balances theory and practical applications that help to progress long-term career. It teaches fundamental concepts and methods of data problem solving. M.S Data Analytics careers are accelerating at a fast pace as students learn and develop a systematic understanding of the issues and practices concerned with the field of data analytics.
Who is this course for?
This course is an appropriate choice for all the students who want to enhance their expertise and proficiency in the current developing domains of data analysis, statistics and machine learning. With the need to store and analyze every type of business transaction, M.S Data Analytics jobs are increasing rapidly because data analysts can take better business decisions and can comprehend the data in an effective manner.
What is the scope and future of M.S Data Analytics?
Students who learn the advanced techniques and systems of data analysis are capable of holding leadership and executive positions as they get an array of opportunities in the data analytics field. The career options available for the students are a data analyst, data administrator, data engineer, Business Intelligence Analyst, Advanced Analytics Expert, and many others. M.S Data Analytics salaries offered to the professionals are very lucrative and rewarding.
1. Data Analyst
2. Project Manager
3. Program Manager
4. Business Intelligence professional, etc
Do I need work experience to pursue this course?
It is not mandatory for a professional to have a prior work experience to pursue MS Data Analytics
What are the learning outcomes?
M.S Data Analytics eligibility provides the students with the following learning outcomes:
Execute requisite methods and techniques for analyzing, presenting and utilizing business data
Describe and convert information to develop relationships and insights into complex data sets
Formulate data models using formal tools and methodologies that can be used to solve real-world data problems
FAQs1. Is any kind of financial aid available?
Webster University provides the option of financial aid in the form of loans and grants to provide supplementary help to the students in order to cover their educational expenses.2. What are the key subjects included in this course?
Some of the key subjects taught are Business Finance for Managers, Applied Business Statistics, Social and Ethical issues in Analytics, Databases and Data Warehouses and others specified in the curriculum.Checkout 1/3Total: £Discount: £Bundle Discount: £Sub Total: £Choose Exam Dates and Additional MaterialsAdd Billing DetailsSelect Payment MethodSelect Payment Method