Master of Professional Studies (Data Science)
STEM Course
1 year
Full Time
On Campus
Field of Study:
₹23.9 L/Yr
NZ$46,752 /Yr
- The Master of Professional Studies specializing in Data Science concentrates on the application of data management and data analysis skills to a professional domain, such as business.
- Completing an MProfStuds can make students readily identifiable as holding the skills to participate in your chosen field and contribute to its advancement.
- Apply techniques from large-scale data management, data mining, machine learning, statistical modeling, and statistical analysis to relevant domains.
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Important Dates
Event | Application Date |
---|---|
Application Deadline For Semester 2 | Jul 4, 2024 |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | ₹2392300 (NZD 46752) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Living Expenses | ₹567629 (NZD 11093) |
Total Cost | ₹567629 (NZD 11093) |
Eligibility & Entry Requirement
Academic Eligibility:
- Students must hold one of the following:
- A four-year bachelors degree
- A one-year postgraduate degree
- A bachelors degree and a one-year professional qualification or three years of professional experience relevant to the area that you would like to study
- Students will need a GPE of at least 3.0.
Indian Student Eligibility:
Indian students are eligible to apply if they meet the following eligibility criteria:
- Completed a bachelor’s (3 years) degree.
- Or, completed a bachelor’s degree requiring 4-years of study from a recognized university.
Submission of IELTS scores is compulsory for this program, however, students may submit a PTE score too instead of that.
Along with the minimum eligibility requirements, international students hailing from non-English speaking countries need to prove English proficiency through IELTS/TOEFL/any equivalent test.
Scores Required
6.5 / 9
Avg. Score in
IELTS
90 / 120
Avg. Score in
TOEFL
58 / 90
Avg. Score in
PTE
Required Document List
- Transcript: Students must submit the official marks statements or transcripts that are provided by the college.
- Certificates: Certificates like High School or University/College Certificates are to be submitted of education qualification.
- Resume/CV: Outline of academic achievements and/or awards, publications, relevant work, and volunteer experience.
- Test Results: Provide proof of English proficiency, if English is not the first language in the student country, as proof of IELTS/TOEFL result scores is to be submitted.
Course Guides
Career and Placement after Course
Followings are the career opportunities for the students:
- Big data engineer
- Business analyst
- Data mining
- Data scientist
- Data steward
- Machine learning engineer
- Organizational change analyst
- Programmer
- Software architect
- Software developer
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
University of Auckland International Student Excellence Scholarship | Scholarship per student₹ 3.7 L/Yr$7,183 | Level Of StudyBachelor | TypeCollege-Specific | |
Forktip Women’s- Innovation Scholarship | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeCollege-Specific | |
Paul Foundation scholarships | Scholarship per student₹ 10.3 L/Yr$20,174 | Level Of StudyDiploma | TypeMerit-Based | |
Axol Science Scholarship | Scholarship per student₹ 1 L/Yr$2,000 | Level Of StudyBachelor | TypeCompany-Sponsored | |
ASID Foundation Legacy Scholarships | Scholarship per student₹ 2 L/Yr$4,000 | Level Of StudyBachelor | TypeMerit-Based | |
Gyandhan Scholarship | Scholarship per student₹ 62,530/Yr$1,222 | Level Of StudyMaster | TypeMerit-Based |
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