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Preparing your educational journey
Tuition USD 16,664 (Tuition (Year)) — International students; USD 16,664 (Tuition (Year)) — National students
Degree MSc
Deadline 2015-04-18
Delivery On-campus
Location Hoboken, United States
Language English

Program Overview

The Financial Analytics at Stevens Institute of Technology 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 Financial Analytics programme are well-prepared for careers in academia, industry, government, and the private sector across United States and internationally. The programme provides an internationally recognised qualification within the Bologna higher education framework.

Key Program Features

  1. Language of instruction: English
  2. Study mode: On-campus
  3. Tuition: USD 16,664 (Tuition (Year)) — International students; USD 16,664 (Tuition (Year)) — National students
  4. Location: Hoboken, United States, United States

Career Opportunities

Graduates of the Financial Analytics programme are prepared for diverse careers in humanities:

  1. Researcher / Academic
  2. Cultural Programme Manager
  3. Editor / Writer
  4. Translator / Interpreter
  5. Museum Curator
  6. Communications Specialist

Program Curriculum

Course Structure

  1. Introduction to Financial Engineering\xa0orIntroduction to Financial Risk Management
  2. Foundations of Data Science\xa0with\xa0Practical Aspects of Database Design (lab)
  3. Applied Statistics with Application in Finance
  4. Data Visualization Application\xa0or\xa0Data Analysis & Visualization for Decision-Making
  5. Time Series with Applications to Finance\xa0or\xa0Time Series Analysis I
  6. Introduction to Knowledge Engineering\xa0or\xa0Knowledge Discovery in Databases I\xa0orStatistical Learning & Analytics\xa0orKnowledge Discovery and Data Mining
  7. Financial Systems Technology\xa0orDistributed Systems and Cloud Computing
  8. Portfolio Theory and Applications\xa0orOptimization Models and Methods in Finance\xa0orConvex Analysis and Optimization
  9. Special Projects in Financial Engineering

Admission Requirements

Academic Requirements

All applicants must submit the following:

  • Online Application
  • $60 non-refundable fee
  • Two letters of recommendation. Letters must be submitted electronically through the online application system.
  • Official college transcripts from\xc2\xa0all\xc2\xa0institutions attended. Transcripts must be submitted in sealed envelopes and mailed directly to Stevens. If official documents are unavailable, unofficial documents can be uploaded through the online application system for initial review\xc2\xa0only. However, applicants will not be fully admitted until all official documents have been received.

Tuition & Financial Information

Tuition Fee

USD 16,664 (Tuition (Year)) — International students; USD 16,664 (Tuition (Year)) — National students

Tuition fees: USD 16,664 (Tuition (Year)) — International students; USD 16,664 (Tuition (Year)) — National students

Financial Aid & Scholarships

Contact Stevens Institute of Technology 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 Stevens Institute of Technology

Stevens Institute of Technology logo

Stevens Institute of Technology

Hoboken, United States

Stevens Institute of Technology is a distinguished institution of higher education committed to academic excellence, innovative research, and preparing students for leadership in their chosen...

University Profile
  • Application Deadline 2015-04-18
  • Start Date 2018-04-15
  • Language English