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Email: intlgradadmission@pace.edu
Phone: +18667223338
Understanding data is becoming increasingly important for us all. This is especially true for the intelligence analyst working for a police intelligence unit or business analytics department.
The work boundaries of the traditional police intelligence analyst and digital forensic investigator are becoming blurred – today’s analysts need to be cyber aware, understanding how communication records and web search histories can be extracted and analysed.
This course covers these areas as well as theories that provide a better sense of the causes of crime and the prevention measures that can be put in place to stabilise and reverse these trends. Analysts shouldn’t be phased by data simply because of its size, complexity or format. This course provides you with the skills to work effectively with large datasets, allowing you to make more informed decisions in relation to criminal investigations. Key features include writing code to quickly clean up data and packaging it so it’s suitable for analysis and visualisation. You will discover that the world constantly presents data in data frames or spreadsheets – our daily activities are invariably logged by a time, date, geolocation. You develop these skills along with your confidence in applying them to make more sense of the data – analysing Twitter downloads, searched words and images, geolocation points or big data. This course also explores strategies employed in forensic investigation. It gives you the space and opportunity to develop your own area of interest in a 60-credit research project where your supervisor enables you to maximise your skillsets from academic writing to data analytics.
Minimum of 55% or CGPA 5.8/10 from a recognised Indian university; 50% or CGPA 5.5/10 minimum from the following universities: Mumbai, Delhi, Pune, Jadavpur or Kolkata University
University Type | Public University |
Campus Setting | Urban |
Establishment Year | 1930 |
Major investment (on campus) | £270 million |
Endowment | £0.25 million |
Applications Accepted | Online |
Work-Study | Available |
Intake Type | Semester wise |
Mode of Program | Classroom and online |
Programs | International Tuition Fee (Full-time programs) |
---|---|
UG Course | £11,825 |
PG Diploma Course | £11,495 |
PG Course | £12,045 |
2-year Master Program | £7,000 |
MBA | £14,300–17,000 |
The living expenses may sum up to £1,015/month, which includes accommodation, food and other essentialities.
Tuition Fees in USA (1st Year Average) | BE/Btech: USD 28300 | MS: USD 22693 | BBA: USD 26616 | MBA: USD 29558 | BSc: USD 29418 | MA: USD 20452 | MIS: USD 22133 | MFin: USD 37683 | MEng: USD 29558 | MIM: USD 35301 | MEM: USD 23254 | MArch: USD 34741 | MFA: USD 28857 | BHM: USD 27176 |
Average Accomodation & Food Costs in USA | USD 700 to 1000 Per Month |
Entrance Exams in USA | TOEFL: 86 | IELTS: 6.5 | PTE: 60 | GRE: 309 | GMAT: 560 | SAT: 1177 |
Work and Study in USA | Permitted for 20 hours/week with a valid study permit. Know More |
Post Study Work Permit in USA | One to Two Years after graduation depending on the course. |
Cost of Student Visa in USA | USD 160 |
Student Visa in USA | F1 Visa for USA allows you study permit in USA in full time academic courses. Any accredited school, college, university, academic institute, seminary, or conservatory in USA must accept you beforehand to apply for F1 visa in USA. Know More |
Intakes in USA | There are Three Intakes in USA: Fall (August-September), Spring (January) Know More |
Top Job Sectors in USA | Health Care, Education, Construction, Hospitality & Tourism, Business Services, Finance. |
Economy in USA | GDP Growth of 2.1% (Q4 2019), The Larges Economy of the World by Nominal |