MySchool

Viðskiptadeild
Deildarforseti:	Dr. Jón Þór Sturluson
Vefpóstur:	vd@ru.is
Vefsíða:	http://www.ru.is/vd
Kennarar	Skoða

MSc í stjórnun nýsköpunar - 90 ECTS
Annir:	3
Ár:	1
Einingar:	90
Um námsleiðina	Meistaranám í stjórnun nýsköpunar leggur áherslu á nýsköpun og frumkvöðlastarfssemi. Nemendur öðlast hæfni til að að stýra nýsköpunarstarfimismunandi skipulagsheilda við þróun á nýjum ferlum, vörum og þjónustu, ásamt því að nemendur geti leitt frumkvöðlastarf á breiðum grunni, þar á meðal til að stofna ný fyrirtæki. Námið eflir þekkingu og næmni nemenda fyrir nýjum tækifærum, þjálfar skapandi og lausnamiðaða nálgun og miðar að því að nemendur geti gert slíkar lausnir að veruleika.
Hæfniviðmið	Skoða
Fagréttindi	MSc í stjórnun nýsköpunar

Táknmyndir
	Skyldufag á braut		Kennslutungumál
	Valfag á braut		Undanfarar fyrir námskeið

Vorönn/Spring 2024

Consumer Behavior

V-712-COBE

3,75 Einingar

Innovation Management

V-713-INNM

7,5 Einingar

Business Ethics

V-714-BETH

3,75 Einingar

Entrepreneurship and Innovation in Context

V-715-ENIC

3,75 Einingar

Business Process Management

V-716-BPMA

7,5 Einingar

Fixed Income Analysis

V-716-FINC

3,75 Einingar

Implementation of information systems

V-717-IMIS

3,75 Einingar

Entrepreneurial Finance

V-733-ENTR

7,5 Einingar

Branding and Strategic Marketing

V-741-BRAN

7,5 Einingar

Strategic HRM and Metrics

V-745-STRA

7,5 Einingar

Internship

V-748-INTE

7,5 Einingar

Cases in corporate finance

V-763-COR2

7,5 Einingar

Gerð reikningsskila og staðlar um reikningsskil II

V-765-FIR2

7,5 Einingar

Business Research Methodology I

V-765-REM1

3,75 Einingar

Applied Derivatives

V-766-APDE

7,5 Einingar

Consolidated Financial Statements

V-767-SARE

7,5 Einingar

Business Intelligence and Analytics

V-784-REK5

7,5 Einingar

Félaga- og fjármunaréttur

V-802-BULA

7,5 Einingar

Business Research Methodology II

V-825-REM2

3,75 Einingar

Tourism Marketing

V-840-TOMA

7,5 Einingar

Training and Development

V-840-TRDE

3,75 Einingar

Reikningshald, afleiður og aðrir fjármálagerningar

V-871-AFLE

7,5 Einingar

Master´s Thesis - partial submission

V-888-THHL

15 Einingar

Research Proposal

V-898-REPR

0 Einingar

Master´s Thesis

V-898-THES

30 Einingar

Skiptinám

X-699-EXCH

30 Einingar

Sumar/Summer 2024

Accounting Fraud and Forensics

V-722-AFOR

7,5 Einingar

Ár

1. ár

Önn

Sumar/Summer 2024

Stig námskeiðs

Óskilgreint

Tegund námskeiðs

Valnámskeið

Undanfarar

Engir undanfarar.

Skipulag

Ekkert skráð skipulag.

Kennari

Marie Rice

Lýsing

The purpose of the course is to provide students with a solid knowledge and understanding of fraud, potential perpetrators, and its impact on an organization and to develop the students’ skills and competences to detect and prevent fraud.

Losses due to fraud have been estimated as high as five percent of an organization’s revenues. It is important to do everything possible to reduce that amount. Fraud is not limited to a specific type or size organization, but can potentially impact any organization. The course will include a basic understanding of the Fraud Triangle and who commits fraud, and how to target resources on how to prevent fraud, e.g. through a strong system of internal controls, and when it is not possible to prevent, how to discover fraud based on strong data monitoring and analysis processes and techniques using detailed transaction data in modern information systems to support basic and complex data analysis. The course discusses data driven fraud detection, including topics such as continuous monitoring, structured vs. unstructured data and visualizations. Tools such as IDEA and ACL are designed to help accountants document and analyze information provided by an organization’s information systems. These packages have been used by auditors, and are also important tools for forensic accountants’ information analysis. The course also covers the different types of fraud against, and on behalf of an organization. This distinction is important because an accountant looking for revenue fraud needs a different perspective and techniques than the same individual looking for asset misappropriation fraud. The course will be a combination of theory and application of theory to specific cases and circumstances. The course will include risk perspectives on organization types, sizes, and management. The context of problems will vary among different types of fraud and investigation tools and techniques.

Námsmarkmið

At the end of the course students should: - Know who commits fraud and why. - Describe several types of fraud and the potential impact on an organization. - Describe the basic components of the fraud triangle. - Know the importance of finding fraud at the earliest possible time to prevent/minimize losses. - Know the basic steps in a data analysis process in the context of data driven fraud detection with regard to continuous monitoring, structured vs. unstructured data and visualizations. At the end of the course students should be able to: - Identify resources relevant to the performance of forensic engagements. - Apply the fraud triangle to specific cases. - Identify controls that may be applied to prevent specific types of fraud. - Use software to import and understand data relationships. - Analyze case data to identify anomalies. At the end of the course students should be able to: - Detect anomalies that potentially indicate fraud. - Develop and implement preventive strategies against fraud. - Develop and implement policies/controls that address different types of fraud.

Námsmat

Lesefni

Ekkert skráð lesefni.

Kennsluaðferðir

Tungumál

Enska

Negotiations and Sales

V-744-NEGO

7,5 Einingar

Internship

V-748-INTE

7,5 Einingar