diff --git a/doc/source/reference/random/bit_generators/mt19937.rst b/doc/source/reference/random/bit_generators/mt19937.rst
index 25ba1d7b5351..71875db4e5dd 100644
--- a/doc/source/reference/random/bit_generators/mt19937.rst
+++ b/doc/source/reference/random/bit_generators/mt19937.rst
@@ -1,9 +1,7 @@
-Mersenne Twister (MT19937) 
+Mersenne Twister (MT19937)
 --------------------------
 
-.. module:: numpy.random.mt19937
-
-.. currentmodule:: numpy.random.mt19937
+.. currentmodule:: numpy.random
 
 .. autoclass:: MT19937
 	:exclude-members:
diff --git a/doc/source/reference/random/bit_generators/pcg64.rst b/doc/source/reference/random/bit_generators/pcg64.rst
index 7aef1e0dd2ab..5881b70086df 100644
--- a/doc/source/reference/random/bit_generators/pcg64.rst
+++ b/doc/source/reference/random/bit_generators/pcg64.rst
@@ -1,9 +1,7 @@
 Parallel Congruent Generator (64-bit, PCG64)
 --------------------------------------------
 
-.. module:: numpy.random.pcg64
-
-.. currentmodule:: numpy.random.pcg64
+.. currentmodule:: numpy.random
 
 .. autoclass:: PCG64
 	:exclude-members:
diff --git a/doc/source/reference/random/bit_generators/philox.rst b/doc/source/reference/random/bit_generators/philox.rst
index 5e581e094083..8eba2d3511e4 100644
--- a/doc/source/reference/random/bit_generators/philox.rst
+++ b/doc/source/reference/random/bit_generators/philox.rst
@@ -1,9 +1,7 @@
 Philox Counter-based RNG
 ------------------------
 
-.. module:: numpy.random.philox
-
-.. currentmodule:: numpy.random.philox
+.. currentmodule:: numpy.random
 
 .. autoclass:: Philox
 	:exclude-members:
diff --git a/doc/source/reference/random/bit_generators/sfc64.rst b/doc/source/reference/random/bit_generators/sfc64.rst
index dc03820ae9e7..d34124a33355 100644
--- a/doc/source/reference/random/bit_generators/sfc64.rst
+++ b/doc/source/reference/random/bit_generators/sfc64.rst
@@ -1,9 +1,7 @@
 SFC64 Small Fast Chaotic PRNG
 -----------------------------
 
-.. module:: numpy.random.sfc64
-
-.. currentmodule:: numpy.random.sfc64
+.. currentmodule:: numpy.random
 
 .. autoclass:: SFC64
         :exclude-members:
diff --git a/doc/source/reference/random/index.rst b/doc/source/reference/random/index.rst
index 01f9981a2b86..0b7a0bfad782 100644
--- a/doc/source/reference/random/index.rst
+++ b/doc/source/reference/random/index.rst
@@ -190,7 +190,7 @@ Concepts
    :maxdepth: 1
 
    generator
-   legacy mtrand <legacy>
+   Legacy Generator (RandomState) <legacy>
    BitGenerators, SeedSequences <bit_generators/index>
 
 Features
diff --git a/doc/source/reference/random/legacy.rst b/doc/source/reference/random/legacy.rst
index 04d4d3569580..413a42727317 100644
--- a/doc/source/reference/random/legacy.rst
+++ b/doc/source/reference/random/legacy.rst
@@ -4,7 +4,7 @@
 
 Legacy Random Generation
 ------------------------
-The `~mtrand.RandomState` provides access to
+The `RandomState` provides access to
 legacy generators. This generator is considered frozen and will have
 no further improvements.  It is guaranteed to produce the same values
 as the final point release of NumPy v1.16. These all depend on Box-Muller
@@ -12,19 +12,19 @@ normals or inverse CDF exponentials or gammas. This class should only be used
 if it is essential to have randoms that are identical to what
 would have been produced by previous versions of NumPy.
 
-`~mtrand.RandomState` adds additional information
+`RandomState` adds additional information
 to the state which is required when using Box-Muller normals since these
 are produced in pairs. It is important to use
-`~mtrand.RandomState.get_state`, and not the underlying bit generators
+`RandomState.get_state`, and not the underlying bit generators
 `state`, when accessing the state so that these extra values are saved.
 
-Although we provide the `~mt19937.MT19937` BitGenerator for use independent of
-`~mtrand.RandomState`, note that its default seeding uses `~SeedSequence`
-rather than the legacy seeding algorithm. `~mtrand.RandomState` will use the
+Although we provide the `MT19937` BitGenerator for use independent of
+`RandomState`, note that its default seeding uses `SeedSequence`
+rather than the legacy seeding algorithm. `RandomState` will use the
 legacy seeding algorithm. The methods to use the legacy seeding algorithm are
 currently private as the main reason to use them is just to implement
-`~mtrand.RandomState`. However, one can reset the state of `~mt19937.MT19937`
-using the state of the `~mtrand.RandomState`:
+`RandomState`. However, one can reset the state of `MT19937`
+using the state of the `RandomState`:
 
 .. code-block:: python
 
@@ -47,8 +47,6 @@ using the state of the `~mtrand.RandomState`:
    rs2.standard_exponential()
 
 
-.. currentmodule:: numpy.random.mtrand
-
 .. autoclass:: RandomState
 	:exclude-members:
 
diff --git a/numpy/random/mtrand.pyx b/numpy/random/mtrand.pyx
index eb263cd2dec9..bd23ab957ddb 100644
--- a/numpy/random/mtrand.pyx
+++ b/numpy/random/mtrand.pyx
@@ -83,8 +83,8 @@ cdef class RandomState:
     See Also
     --------
     Generator
-    mt19937.MT19937
-    Bit_Generators
+    MT19937
+    :ref:`bit_generator`
 
     """
     cdef public object _bit_generator