Program Overview
The Data Mining and Predictive Analytics at St. John's University is a MSc programme in Humanities, delivered On-campus. This programme equips graduates with advanced knowledge and practical skills for professional and academic careers in the field.
Students gain a rigorous grounding in both the theoretical foundations and applied dimensions of humanities. The programme combines coursework, research components, and practical projects that develop critical thinking, problem-solving, and specialist expertise relevant to industry and research needs.
Graduates of the Data Mining and Predictive Analytics programme are well-prepared for careers in academia, industry, government, and the private sector across Italy and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.
Key Program Features
- Language of instruction: English
- Study mode: On-campus
- Tuition: USD 1,170 (Tuition (Credit)) — International students; USD 1,170 (Tuition (Credit)) — National students
- Location: New York City, United States, Italy
Career Opportunities
Graduates of the Data Mining and Predictive Analytics programme are prepared for diverse careers in humanities:
- Researcher / Academic
- Cultural Programme Manager
- Editor / Writer
- Translator / Interpreter
- Museum Curator
- Communications Specialist
Program Curriculum
Course Structure
- Advanced Managerial Statistics
- Applied Regression and Forecasting Models
- Database System Design and Data Warehousing
- Data Mining and Predictive Modeling I
- Computer Visualization Applications
- Operations Research
- Web Data Mining
- Monte Carlo Techniques
- Database Programming
- Decisions in Marketing Management
- Medical and Health Informatics
Admission Requirements
Academic Requirements
You need the following GPA score:
Applicants for graduate programs must have the equivalent of a bachelor\xe2\x80\x99s degree with a minimum GPA equivalent to 3 on a US 4.0 grading scale. Admitted applicants typically have an undergraduate GPA of or better on a 4.0 scale. No exam grade should be lower than 4.5 (European grade scale) or D (American grade scale).
Your GPA (Grade Point Average) is calculated using the grades that you received in each course, and is determined by the points assigned to each grade (e.g. for the US grading scale from A-F).
Admission to the program is contingent upon an assessment of the candidate\xc2\x92s ability to successfully pursue graduate study. This assessment will be made by examining previous academic performance, letters of recommendation, the applicant\xc2\x92s essay, work experience, performance on standardized exams (such as the GRE), and any other evidence that the admissions committee believes to be relevant.
Applicants must submit the following evidence of their ability to pursue graduate study:
- A baccalaureate degree from a regionally accredited college or university. Transcripts from each institution attended must be submitted even if a degree was not conferred.
- A record of scholarly achievement at the undergraduate level. Applicants are expected to have a 3.0 (based on a 4.0 scale) cumulative undergraduate grade point average, and a 3.0 in their major field of study. An applicant whose grade point average is below 3.0 may submit an official copy of his/her GRE to support his or her application.
- Two letters of recommendation from individuals who can comment on the applicant\xc2\x92s academic abilities and potential to succeed in an academically rigorous graduate program. At least one of these letters must be from an instructor who has taught and evaluated the applicant in an academic setting.
- Completion of the following undergraduate mathematics courses or equivalent:
- MTH 1008 - Matrix Methods
- MTH 1009 - Calculus I
- MTH 1013 - Probability and Statistics I
- MTH 1014 - Probability and Statistics II
Tuition & Financial Information
Tuition Fee
USD 1,170 (Tuition (Credit)) — International students; USD 1,170 (Tuition (Credit)) — National students
Tuition fees: USD 1,170 (Tuition (Credit)) — International students; USD 1,170 (Tuition (Credit)) — National students
Financial Aid & Scholarships
Contact St. John's University directly for scholarship, grant, and financial aid information for this programme. Many European universities offer merit-based and need-based funding for international and domestic students.
About St. John's University
St. John's University
City of New York, United States
St. John's University is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen fields. The...
University Profile- Application Deadline 2004-06-18
- Start Date 2018-09-01
- Language English