diff --git a/src/likelihoods/studentt.jl b/src/likelihoods/studentt.jl
new file mode 100644
index 0000000..fafd004
--- /dev/null
+++ b/src/likelihoods/studentt.jl
@@ -0,0 +1,29 @@
+
+using SpecialFunctions :: logbeta
+using IrrationalConstants :: logπ, 
+
+
+"""
+    StudentTLikelihood(σ²,ν)
+
+Student's T likelihood with `σ²` scale and ν degrees of freedom . This is to be used if we assume that the
+uncertainity associated with the data follows a Student's T distribution.
+
+```math
+    p(y|f) = \\operatorname{Student}(y | f, σ², ν)
+```
+"""
+
+struct StudentTLikelihood{T<:Real, Tn :: Real} <: AbstractLikelihood
+    σ²::Vector{T}
+    ν::Vector{Tn}
+end
+
+function expected_loglikelihood( ::AnalyticExpectation,lik::StudentTLikelihood,q_f :: AbstractVector{<:Normal}, y :: AbstractVector{<:Real})
+    f_μ = mean.(q_f)
+    # Why?
+    return sum(-logbeta(0.5,0.5*lik.ν) .- 0.5*logπ .- 0.5*log(lik.ν) .- log(lik.σ²) .- (0.5*(lik.ν+1))*log.(1 .+ ((y .- f_μ).^2 + var.(q_f)) / lik.σ²))
+end
+
+
+default_expectation_method(::StudentTLikelihood) = AnalyticExpectation()
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