

MS in Data Analytics
- Private University
California School of Management Leadership
MS in Data Analytics at Alliant International University Overview
Alliant International University is among the popular universities to study MS in Data Analytics from abroad. The duration of MS in Data Analytics program is 14 months. The first-year Alliant International University tuition fee for MS in Data Analytics is around USD 21,723. Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. Indian students must meet the Alliant International University admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 14 months |
Tuition & Fees | ₹19.26 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Data Analytics at Alliant International University Fees
For enrolling at the Alliant International University, for MS in Data Analytics, students must pay the tuition and living cost. Moreover, the Alliant International University MS in Data Analytics fee structure can vary from domestic to international students.
International students must pay the USD 21,723 for the first year. Along with this, they must be ready for other costs of living such housing, food, transportation, books and supplies, and other miscellaneous expenses. Check out Alliant International University MS in Data Analytics on the fee breakup, from the table mentioned below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 19,26,178 |
| Fees components | Amount (for 1 year) |
|---|---|
| Transportation | INR 3,99,015 |
| Books & Supplies | INR 1,99,507 |
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MS in Data Analytics at Alliant International University Entry Requirements
- No specific cutoff mentioned
- CGPA - 2.75/4
- Read less
- Applicants must have earned a Bachelor’s degree and any other qualifying degrees (as needed) from a regionally accredited university
- GPA Minimum of 2.75 or GPA Exemption Petition
- The following two (2) prerequisite courses are required for students during Sessions 1 and 2 of Year 1: DAT50000 - Essentials of Informatics Using Python (3 units) and DAT50050 - Basic Applied Statistics (3 units). Applicants can submit a request for waiver to the program academic advisor. For consideration to waive the pre-requisite courses, students must satisfy one of the following requirements:
- Bachelor’s degrees: Students with undergraduate majors including a course in math or a course in statistics and a course in programming are eligible to apply for waivers of the program pre-requisites courses
- A 3-unit equivalent course completed at the bachelor’s level within the last 3 years in math or in statistics with a grade of B+ or better will waive the DAT50050 pre-requisite course. A 3-unit equivalent course completed at the bachelor’s level in programming (e.g., C++, .NET/C#, JAVA, R, or Python) within the last 3 years with a grade of B+ or better will waive the DAT50000 pre-requisite course
- In cases where the course(s) described above were completed more than 3 years ago, students can still apply for a waiver with the course syllabus from the year when they completed the course, and the program will assess the course contents to make a waiver decision
- Master’s degrees: Students with a masters including a course in math or statistics in the previous 3 years completed with a grade of B or better can waive the pre-requisite course DAT50050, and a course in programming, in the previous 3 years completed with a grade of B or better can waive the pre-requisite course DAT50000. In cases where the above course(s) were completed more than 3 years ago, students can still apply for a waiver with the course syllabus from the year when they completed the course, and the program will assess the course contents to make a waiver decision
- Bachelor’s degrees: Students with undergraduate majors including a course in math or a course in statistics and a course in programming are eligible to apply for waivers of the program pre-requisites courses

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Out of 10
- N/A
- Read less
- CSML also accepts 3-year bachelor’s degrees earned outside the US:
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if that earned degree will allow students to enroll in a graduate level degree in their home country and the degree is accredited nationally in the home country; or,
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applicant has already demonstrated graduate level academic success in a graduate level program which qualifies with a B or higher grade in 3 or more courses and the graduate level program qualifies per Alliant’s evaluation policies
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- CSML also accepts 3-year bachelor’s degrees earned outside the US:

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 70/120
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- Marks - 50/90
- NA
- Marks - 6/9
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- No specific cutoff mentioned
- Interview may be required
MS in Data Analytics at Alliant International University Application Process
- Official Degree Granting Transcripts
- Proof of English language proficienc
- Resume/CV is optional
- Two Letters of Recommendation (optional)
- After a student is admitted, confirmed, and registered for courses they may access the online payment system CASHNet through their Alliant Portal, and can choose payment plan option
- Sessions/semesters often have different numbers of options i.e., two, or up to four payments, depending on the length of the session/semester
- The Payment Plan Administration Fee of $50 will be charged
MS in Data Analytics at Alliant International University Placements
| Particulars | Statistics (2023) |
|---|---|
| Internship Available | Yes, Internship opportunity is available |
MS in Data Analytics at Alliant International University Highlights
- With a master of science in data analytics degree, students will be able to decipher data and turn it into the meaningful business intelligence organizations rely on to reduce costs, design new products, improve efficiencies, and maintain a competitive edge
- The masters in data analytics, or MSDA, program is focused on growing your skills in data science through:
Technology and quantitative analysis
Statistical modeling
Critical thinking - The advanced data analytics program teaches students valuable skills through real-world applications, and ensures that they are knowledgeable in applied data science and business analytics, and fully prepared to work as a professional within organizations as the mind that can master the machine
- Two concentrations are available:-
Healthcare Analytics - This advanced analytics concentration targets the expertise required in current healthcare analytics environments and provides a clear understanding of practical healthcare analytics decision-making
Informatics - Within the information system concentration, students will focus on enterprise level information management tactics, techniques, and modeling methods for extracting, transforming, and loading data into essential reports
MS in Data Analytics at Alliant International University Scholarships
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