Integrifin Academy · Rencana Pembelajaran Semester

RPS · Big Data Analytics for Finance & Business Assurance

RPS ini menggunakan Course 03 sebagai learning blueprint. Dosen dapat mengedit data operasional, menyimpan draft pada browser/perangkat yang digunakan, membuat backup JSON, dan mengekspor dokumen yang dapat langsung dibuka di Microsoft Word.

Course 03OBE-Based8 ModulesEvidence Before CredentialCompletion ≠ Achievement ≠ Attainment
Belum ada perubahan tersimpan pada perangkat ini.

A. Identitas Mata Kuliah / Course

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B. Deskripsi Course

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Course ini mengembangkan kemampuan menggunakan data keuangan dan transaksi dalam skala besar untuk menghasilkan insight, mendeteksi anomaly/risk, membangun evidence, dan mendukung professional judgment serta responsible business assurance.

C. CPL / Program Learning Outcomes

Editable · selaraskan dengan master Program 03

Klik isi tabel untuk menyesuaikan rumusan atau pemetaan tanpa mengubah master course.

KodeProgram Learning OutcomeContribution
INCA-CPL01Innovative problem solving and evidence-based professional reasoning.Primary
INCA-CPL02Data, technology and analytical capability for professional decisions.Primary
INCA-CPL05Resilience, execution and responsible professional judgment.Supporting
INCA-CPL06Stakeholder and impact orientation.Supporting

D. Course Learning Outcomes (CLO)

OBE · Bloom Taxonomy
CLOExpected Learning OutcomeBloomMapped CPL
CLO-01Explain the role, characteristics and professional value of big data in finance and business assurance.C2 · UnderstandCPL01, CPL02
CLO-02Evaluate financial data sources, data architecture, governance, ethics and data quality.C5 · EvaluateCPL02, CPL05
CLO-03Acquire, extract, clean, transform and integrate financial and transaction data for analysis.C4 · AnalyzeCPL02
CLO-04Perform exploratory analytics, visualization, anomaly detection and risk-oriented analysis.C4 · AnalyzeCPL01, CPL02
CLO-05Formulate evidence-based financial insight and defensible professional judgment.C5 · EvaluateCPL01, CPL05
CLO-06Design and communicate responsible analytical solutions for stakeholder and business assurance needs.C6 · CreateCPL05, CPL06

E. Learning Resources

Course 03

Textbook Wajib

  1. Richardson, V. J., Teeter, R. A., & Terrell, K. L. (2025). Data Analytics for Accounting (4th ed.). McGraw Hill.
  2. McKinney, W. (2022). Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter (3rd ed.). O'Reilly Media.

Bacaan Rekomendasi

  • Marr, B. (2025). Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business (3rd ed.). Kogan Page.
  • Kleppmann, M. (2017). Designing Data-Intensive Applications. O'Reilly Media.
  • Baesens, B., Van Vlasselaer, V., & Verbeke, W. (2015). Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques. Wiley.
  • Knaflic, C. N. (2015). Storytelling with Data. Wiley.
  • James, G., Witten, D., Hastie, T., Tibshirani, R., & Taylor, J. (2023). An Introduction to Statistical Learning: with Applications in Python. Springer.
  • Provost, F., & Fawcett, T. (2013). Data Science for Business. O'Reilly Media.

F. Rencana Pembelajaran per Module

8 modules · editable delivery plan
ModuleTopic / Learning ModuleMLO / Expected AbilityMethodEvidenceAssessmentWeight
01Big Data in Finance & Business AssuranceExplain the role and professional value of big data.Case + discussionConcept noteConcept testEditable
02Financial Data Sources, Architecture, Governance & EthicsEvaluate data sources, governance, architecture and ethical constraints.Scenario analysisData mapScenario testEditable
03Data Acquisition, SQL & Transaction Data ExtractionAcquire and extract structured financial and transaction data.Practical labSQL / datasetLab evidenceEditable
04Data Quality, Cleaning, Transformation & IntegrationPrepare reliable analytical data through cleaning and transformation.Practical labClean datasetLab evidenceEditable
05Exploratory Financial Analytics & VisualizationAnalyze and visualize financial patterns for professional insight.Analytics studioDashboard / chartsPortfolioEditable
06Transaction Pattern, Anomaly & Risk AnalyticsDetect, interpret and evaluate anomaly and risk signals.Professional caseRisk analysisCase assessmentEditable
07Evidence-Based Financial Insight & Professional JudgmentFormulate defensible evidence-based professional judgment.Case + reviewProfessional memoProfessional reviewEditable
08Solution Design, Communication & Responsible AnalyticsDesign and communicate a responsible analytical solution to stakeholders.Capstone / vivaSolution + presentationCapstone / vivaEditable

G. Assessment, Achievement & Attainment

Completion ≠ Achievement ≠ Attainment
Assessment EvidenceWeightMapped CLOAttainment Criterion
Knowledge / Concept TestEditableCLO-01, CLO-02Set by lecturer / program
Applied / Scenario TestEditableCLO-02, CLO-04Set by lecturer / program
Practical Lab / SimulationEditableCLO-03, CLO-04Evidence-based rubric
Assignment / PortfolioEditableCLO-04, CLO-05Evidence-based rubric
Professional Case / Review / VivaEditableCLO-05, CLO-06Professional judgment rubric
Completion menunjukkan aktivitas selesai; Achievement menunjukkan performance/nilai; Attainment menunjukkan ketercapaian learning outcome berdasarkan evidence dan kriteria yang ditetapkan.

H. Persetujuan RPS

Editable names and dates
Disusun oleh
Nama Dosen Pengampu
Tanggal
Ditelaah oleh
Reviewer / Program Manager
Tanggal
Disetujui oleh
Academic / Program Approval
Tanggal